50+ SQL Jobs in India

About the Programme 

Developing an enterprise AI platform focused on financial compliance and intelligence.  

Role Overview 

We are looking for a strong Data Engineer to own the data foundation of the platform. Every model, every AI output, and every compliance decision the system makes depends on data arriving reliably, completely, and on time. You will design and build the ingestion pipelines from all source systems into the data platform, own the pipeline monitoring infrastructure, and work closely with internal IT and operations teams to extract data from complex enterprise source 

systems.  

Key Responsibilities 

Data Discovery & Audit 

• Conduct a thorough data audit with internal IT and operations teams — map every data 

source needed for the platform, assess what already exists on the data platform, and identify gaps. 

• Document data sources, schemas, update frequencies, and quality issues for all relevant datasets  

• Raise data gaps and quality risks to the Solutions Architect  

Pipeline Design & Build 

• Design and build ingestion pipelines from all source systems — ERP, government portals, supplier portals, and banking feeds — into the data platform. 

• Design pipelines for both batch and real-time ingestion patterns 

• Ensure pipelines are idempotent, resumable, and handle source system failures gracefully without data loss or duplication. 

Data Quality & Reliability 

• Build pipeline monitoring and alerting so data failures are caught and flagged before they corrupt model training or inference. 

• Define and implement data quality checks at the point of ingestion — schema validation, completeness checks, and anomaly detection on incoming data volumes. 

• Maintain clear data lineage so the team always knows where a data point came from and when it was last updated. 

Collaboration & Handoff 

• Work closely with internal IT and automation team who hold institutional knowledge of the source systems — this is not a solo exercise. 

• Hand off clean, well-documented datasets to the ML Engineers and LLM Engineer for model training and knowledge base building. 

• Support the MLOps Engineer in ensuring production pipelines are stable and monitored post-deployment. 

Required Qualifications 

Education 

•B.E. / B.Tech / M.Tech in Computer Science, Information Technology, or a related field. 

Experience 

• 5+ years of data engineering experience with at least 2 years working on production pipelines at enterprise scale. 

• Demonstrated experience building pipelines from complex enterprise source systems — ERP or equivalent. 

• Experience building both batch and real-time / streaming ingestion pipelines. 

Technical Skills 

• Languages: Python and PySpark; SQL proficiency essential. 

• Data Platform: Databricks and Delta Lake — must have hands-on production experience. 

• Pipeline Orchestration: Apache Airflow, Databricks Workflows, or equivalent. 

• Streaming: Kafka, Spark Structured Streaming, or equivalent for real-time ingestion patterns. 

• ERP Integration: Experience extracting data from SAP or equivalent large ERP systems strongly preferred. 

• API Integration: REST API consumption for government portal or third-party data feeds. 

• Data Quality: Experience with data quality frameworks — Great Expectations or equivalent. 

• Observability: Pipeline monitoring, alerting, and data lineage tooling. 

Preferred Qualifications 

• Familiarity with SAP data models  

• Prior experience with government API ecosystems — GSTN, ICEGATE, or similar. 

• Experience building pipelines that feed ML model training workflows. 

• Exposure to Unity Catalog or similar data catalogue and governance tools. 

• Prior work in fintech, compliance, or tax technology environments. 

Job Title: Senior Data Tester

Location : Hyderabad

Mode: Hybrid

Notice Period: Immediate Joiner

Key Responsibilities:

• 8+ years of experience in ETL/data testing.
• Design, implement, and execute data validation test plans and test cases.
• Understanding of data modelling and data governance principles.
• Experience with test automation frameworks and scripting (e.g., Python, Shell)Conduct thorough ETL testing, including data extraction, transformation, and loading.
• Validate data integrity across various sources and destinations (data lakes, warehouses, etc.)
• Perform data reconciliation and analysis to identify inconsistencies or data quality issues.
• Develop and maintain automated data testing frameworks using SQL or scripting languages.
• Strong experience with SQL and writing complex queries for data validation.
• Knowledge of data warehouse concepts and testing tools. Experience with ETL tools (e.g., Informatica, Talend, SSIS, etc.)
• Familiarity with cloud platforms (Azure, GCP) and modern data tools (e.g., Snowflake, Big Query).
• GCP is mandatory. Experience in Agile development and working within cross-functional teams.
• Exposure to BI tools (Power BI, Tableau, Looker)
• Familiarity with CI/CD pipelines and version control systems like Git ISTQB or equivalent testing certifications.

• Design, build, and maintain scalable ETL/ELT pipelines for batch and real-time data ingestion and transformation.
• Develop and optimize data lake and data warehouse architectures (e.g., Snowflake, BigQuery, Redshift).
• Work with cloud platforms GCP, Azure to manage data infrastructure.
• GCP as mandatory skills
• Collaborate with analytics and product teams to understand data needs and deliver solutions.
• Ensure data quality, reliability, security, and compliance across all data systems.
• Mentor junior data engineers and contribute to best practices and code reviews.
• Monitor and troubleshoot data pipeline performance and resolve data-related issues.
• Automate data validation, monitoring, and alerting processes.
• 8+ years of experience in data engineering or software engineering with a data focus.
• Proficient in SQL and at least one programming language (e.g., Python, Scala, Java).
• Experience with modern data warehousing tools (e.g., Snowflake, Redshift, BigQuery).
• Strong understanding of data modeling, data lakes, and ETL/ELT design.
• Hands-on experience with orchestration tools like Airflow, dbt, or similar.
• Solid experience with cloud data platforms (AWS/GCP/Azure).
• Familiarity with CI/CD pipelines, containerization (Docker/Kubernetes), and version control (Git).
• Experience working in a DevOps or DataOps environment.
• Knowledge of data governance, lineage, and cataloging tools (e.g., Collibra, Alation).
• Familiarity with streaming technologies (Kafka, Spark Streaming, Flink).
• Experience supporting machine learning workflows and data science initiatives.

Job Description:

Position: Senior Data Engineer

Location: Chennai / Pune / Bangalore / Hyderabad

Working Type: WFO

Shift: UK Shift (2:00 – 11:00 PM)

Experience : 7+ years overall

Interviews: Assessment || 2 Interview rounds.

Notice Period: Immediate Joiner

Key Responsibilities

Implement ingestion, transformation, and optimization of enterprise data sources into Microsoft Fabric Lakehouse environments.

Configure and optimize Fivetran connectors (Oracle, SQL DB, etc.)

Manage large-volume ingestion and backfill operations

Implement Bronze to Silver transformation pipelines

Develop incremental load and CDC logic

Optimize Lakehouse performance and storage patterns

Implement monitoring (record counts, load duration, failure tracking)

Support Dev/Test/Prod promotion processes

Required Qualifications

7+ years of data engineering experience

Hands-on experience with Microsoft Fabric or Azure Synapse/Data Factory

Strong experience with Fivetran or similar ELT tools

Experience handling high-volume datasets (hundreds of millions of records)

Proficiency in SQL, Python, and data modeling concepts

Strong understanding of Medallion architecture.

* Strong practical knowledge and interest in modern AI tools.

* Genuine curiosity and willingness to continuously learn.

* Ability to research, experiment, implement, troubleshoot and improve independently.

* Good understanding of prompting and AI workflows.

* Strong problem-solving mindset.

* Basic understanding of APIs, integrations and automation.

* Ability to explain technology clearly to non-technical people.

* Comfortable using AI to solve real-world business problems.

Roles & Responsibilities

• Design, develop, and deliver scalable end-to-end data pipelines using Azure Data Factory, ensuring robust integration

of enterprise-wide data from diverse sources

• Build and optimize data engineering workflows using Databricks and PySpark

• Write efficient, high-performance SQL for data transformation and analysis

• Work with the Azure Cloud platform and associated services, applying strong understanding of data warehousing,

data models, and pipelines

• Provide technical leadership to a team of developers, including code reviews and enforcing best practices across the

development lifecycle

• Oversee CI/CD implementation using Azure DevOps, managing deployments across development, QA, and production

environments with proper change control processes

• Collaborate with cross-functional teams to translate business requirements into scalable data solutions

• Ensure data quality, reliability, and performance across all pipelines and platforms

Ideal Candidate

1Strong Azure Databricks Engineer / Senior Data Engineer Profile

2Mandatory (Experience 1) – Must have minimum 8+ years of overall experience in Data Engineering, Data Development, or related data technology roles, with strong hands-on experience in enterprise data pipeline development.

3Mandatory (Experience 2) – Must have strong hands-on experience with Azure Databricks, including development and optimization of scalable data engineering workflows using Databricks and PySpark.

4Mandatory (Experience 3) – Must have strong hands-on proficiency in PySpark/Python and SQL, with proven experience developing complex data transformations, processing workflows, and performance-optimized queries.

5Mandatory (Experience 4) – Must have hands-on experience with Azure Data Factory (ADF) for designing, developing, and orchestrating end-to-end data pipelines and integrating data from multiple sources.

6Mandatory (Experience 5) – Must have strong experience working on the Azure Cloud platform and associated data services, with solid understanding of data warehousing, data modeling, pipeline architecture, and enterprise data solutions.

7Mandatory (Experience 6) – Must have hands-on experience implementing CI/CD using Azure DevOps, including deployment and release management across development, QA, and production environments.

8Mandatory (Experience 7) – Must have proven technical leadership experience, including code reviews, enforcing development best practices, mentoring developers, and providing technical guidance to a data engineering team.

9Mandatory (Notice Period) – Immediate joiners or candidates who can join within 15 days.

10Mandatory (Note) - The position is open across all Cognizant offices pan India. Candidates must be willing to attend the F2F interview at the nearest Cognizant office location.

As a Senior Data Engineer, you will be responsible for designing, developing, and optimizing scalable cloud-native data platforms on AWS. You will build high-performance batch and analytical data pipelines using DBT (Cloud + Core), AWS Glue, SMUS, Redshift, Python, MWAA, APIs, and other AWS services while ensuring reliability, scalability, and operational excellence.

The role requires strong expertise in data engineering, SQL optimization, distributed data processing, and cloud-native architectures.

Must Have Primary Skills

Data Engineering

• 3+ years of hands-on experience building large-scale AWS Data Engineering solutions.
• Strong experience designing scalable batch and streaming data pipelines on AWS.
• Experience implementing monitoring, logging, alerting, and observability for production data pipelines.
• Strong understanding of data quality, troubleshooting, debugging, and production support.

DBT & Data Warehousing

• Strong hands-on experience with DBT (Cloud + Core) (Highly Recommended).
• Hands-on expertise with Amazon Redshift for Data Warehousing and Analytics.

Programming & Querying

• Strong expertise in:
• SQL (Analytical Queries, Window Functions, Stored Procedures)
• Python
• Spark / PySpark
• Strong experience in Spark/PySpark performance tuning and optimization.

Lakehouse & Apache Iceberg

• Hands-on experience designing and implementing Lakehouse solutions using Apache Iceberg.
• Experience optimizing Apache Iceberg and Amazon Aurora PostgreSQL for performance and scalability.
• Strong understanding of:
• Data Modeling
• Partitioning
• File Formats
• Lakehouse / Data Lake Architectures

AWS Cloud Services

Hands-on experience with AWS services including:

• AWS Glue
• Amazon MWAA
• Amazon EMR
• Amazon Redshift
• Amazon S3
• Amazon Athena
• AWS Glue Catalog
• Amazon Aurora PostgreSQL
• AWS Lambda
• Amazon EC2
• Amazon DynamoDB
• Amazon API Gateway
• Amazon CloudWatch
• Amazon SQS
• Amazon SNS
• Amazon EventBridge
• AWS Secrets Manager
• AWS IAM

Development Practices

• Experience with CI/CD.
• Strong knowledge of Git.
• Familiarity with Data Engineering best practices.

Soft Skills

• Strong communication skills.
• Excellent problem-solving ability.
• Stakeholder management experience.

Preferred Certification

• AWS Data Engineer Associate or equivalent AWS Certification.

Good to Have Skills

• AWS Step Functions
• Terraform / Infrastructure as Code (IaC)
• Kafka
• Hive
• HDFS
• Other Big Data technologies
• Experience using GenAI-assisted development tools such as:
• GitHub Copilot
• Cursor
• Kiro
• Similar AI coding assistants
• ClickHouse Database
• Telecom / Mobile Network domain knowledge
• AtScale design and development
• Docker
• Kubernetes 

Hiring : Senior Databricks AI Architect

Exp : 15 - 18 yrs

Work Location : Pune WFO

Skills :

10 +years of experience in Data Engineering, Data Architecture, Analytics, or Software Engineering.

Minimum 5 years of hands-on experience with Databricks (Mandatory).

Strong expertise in designing and implementing enterprise-scale data platforms on Databricks.

Hands-on experience with AI-powered engineering tools such as Databricks Genie, Cursor, GitHub Copilot, or similar AI platforms.

Strong proficiency in Python, SQL, Spark, Delta Lake, and Databricks notebooks.

Excellent communication, stakeholder management

This role will be permanent with NAM info and deploy to client location Hyderabad & Pune.

Work Mode: WORK FROM OFFICE

Role Descriptions:

• Perform detailed data analysis and support business decision-making
• Gather and document business requirements and translate them into technical specifications
• Work closely with stakeholders to define data needs and reporting requirements
• Create user stories, functional specifications, and support UAT activities
• Ensure alignment between business objectives and data solutions

Required Skills:

• Strong expertise in SQL and data querying
• Proven experience in data analysis, requirement gathering, and stakeholder management
• Ability to translate business requirements into technical solutions and user stories
• Good understanding of data models, reporting, and analytics concepts

Skills: Business Analysis~ORACLE SQL

Locations: ~HYDERABAD~PUNE~

Desire candidate

• Candidate should have valid PF.

Experience: 4–6 Years

Domain: Automotive IoT | Connected Vehicles | Firmware & OTA

Core Stack: Rust | AWS | IoT Core | Apache Kafka | MemoryDB

Key Responsibilities  

OTA & Firmware Lifecycle  

• Co-own OTA firmware rollout operations across multi-ECU connected vehicle architectures.
• Design automated mechanisms to detect update failures, network interruptions, verification errors, and stalled deployments.
• Implement deterministic retry, recovery, and rollback mechanisms to ensure reliable firmware updates without vehicle bricking.
• Ensure firmware package integrity, signature validation, and data security throughout the OTA pipeline.

Data Engineering & Telemetry  

• Design and maintain real-time streaming pipelines for vehicle telemetry, heartbeats, OTA campaign status, and ECU state changes.
• Build high-throughput data services and workers using Rust for payload routing, processing, and verification.
• Use Apache Kafka and AWS IoT Core for real-time data ingestion and event streaming.
• Leverage AWS MemoryDB for Redis for low-latency fleet state, campaign progression, and session management.
• Build resilient pipelines capable of handling intermittent connectivity, noisy networks, and out-of-order data.

Monitoring & Analytics  

• Build real-time dashboards for fleet health, firmware versions, OTA campaigns, and update progress.
• Define and monitor key OTA metrics including success/failure rates, retry rates, failure categories, and completion time.
• Implement automated alerting and anomaly detection for unexpected failure spikes during staged or canary rollouts.
• Analyze logs, traces, and telemetry data to identify campaign bottlenecks, telemetry loss, and hardware-related failures.

Required Skills  

Mandatory  

• 4–6 years of experience in Data Engineering, Software Engineering, or IoT Backend Engineering.
• Strong hands-on experience with Rust for backend/data processing applications.
• Experience with AWS, particularly IoT Core, S3, ECS/EKS, and Lambda.
• Strong experience with Apache Kafka and real-time data pipelines.
• Hands-on experience with AWS MemoryDB for Redis or Redis Enterprise.
• Working knowledge of Python and SQL.
• Experience with MQTT, WebSockets, and HTTP/S protocols.
• Strong understanding of distributed systems, streaming data, and resilient data pipelines.

Preferred  

• Experience with firmware lifecycle management and OTA systems.
• Exposure to connected vehicles, automotive IoT, telemetry platforms, or connected hardware fleets.
• Experience with device shadows and fleet/device state management.
• Experience building telemetry dashboards using Power BI, Apache Superset, or custom dashboards.
• Experience with staged/canary deployments and automated failure recovery.

Primary Technology Stack  

• Languages: Rust, Python, SQL
• Cloud: AWS, IoT Core, S3, ECS/EKS, Lambda
• Streaming: Apache Kafka
• Caching & State: AWS MemoryDB for Redis, Redis
• IoT Protocols: MQTT, WebSockets, HTTP/S
• Analytics & Visualization: Power BI, Apache Superset
• Domain: Automotive IoT, Vehicle Telemetry, OTA, Firmware Management

Strong Databricks Architect Profile with end-to-end Lakehouse ownership

2

Mandatory (Experience 1) – Must have 10+ years of software engineering experience with atleast 5+ years in Data Engineering with hands on exposure to Databricks and strong ownership of end-to-end data pipeline development.

3

Mandatory (Experience 2) – Must have atleast 5+ years of expertise across the Databricks ecosystem — Delta Lake, Delta Live Tables, Autoloader, Structured Streaming, Workflows, Unity Catalog

4

Mandatory (Tech skill 1) – Must have worked at architecture level, owning end-to-end design through deployment

5

Mandatory (Tech skill 2) – Must have strong experience with Python and SQL for data processing and Apache Spark for performance tuning & scalability

6

Mandatory (Tech skill 3) – Must have experience in large-scale data warehousing & advanced data modeling (3NF and dimensional) across batch and real-time systems

7

Mandatory (AI Exposure) – Must have at least a basic working understanding of how AI services or tools work

8

Mandatory (Communication) – Must have strong stakeholder management & requirement-gathering experience with US or UK clients

9

Mandatory (Company) – Must come from a B2B IT services or IT consulting background

10

Mandatory (Note) – CTC is inclusive of 5% variable

11

Preferred (Tech skill 1) – Azure Databricks or Azure data services experience (project runs on Azure DevOps)

12

Preferred (Tech skill 2) – MLflow or MLOps practices and AI use cases (RAG, AI/BI)

13

Preferred (Tech skill 3) – CI/CD, Databricks Asset Bundles (DABs) or equivalent packaging, Terraform or IaC, reusable deployment templates

14

Preferred (Integrations) – ServiceNow or enterprise system integrations

15

Preferred (Certifications) – Databricks (Data Engineer Associate or Professional, ML or GenAI tracks), Azure or AWS cloud certifications

Are you someone who can do whatever it takes to make sure user's are provided with best customer suppport possible for fastest growing consumer apps in India. If yes then this is job for you. Head team of 4-5 support executive with hands on attitude to find issues and make sure they are solved asap.

Note - If you need handholding to do your job then this job is not yours. Don't mind applying.

Key Responsibilities  

• Design, build, and optimize scalable data pipelines for AI/ML applications.
• Develop, train, evaluate, and deploy Machine Learning and Deep Learning models.
• Build production-ready LLM applications using Retrieval-Augmented Generation (RAG), prompt engineering, and vector databases.
• Fine-tune open-source and foundation models using domain-specific datasets.
• Develop and maintain end-to-end MLOps pipelines for model deployment, monitoring, and lifecycle management.
• Perform data preprocessing, feature engineering, exploratory data analysis (EDA), and model evaluation.
• Develop APIs and AI services for production deployment.
• Collaborate with cross-functional teams to deliver scalable AI-driven solutions.
• Monitor model performance, troubleshoot production issues, and maintain technical documentation.

Required Skills  

Mandatory  

• 1–3 years of experience in Data Science, Data Engineering, or AI/ML development.
• Strong programming skills in Python and SQL.
• Hands-on experience with Machine Learning frameworks such as PyTorch, TensorFlow, or Scikit-learn.
• Experience building LLM-powered applications using RAG, Prompt Engineering, and Embeddings.
• Hands-on experience with LangChain, LlamaIndex, CrewAI, or n8n for LLM orchestration and AI workflow automation.
• Experience in LLM fine-tuning and working with Hugging Face models.
• Knowledge of MLOps concepts including model deployment, monitoring, versioning, and CI/CD.
• Experience with Git, REST APIs, Linux environments, and data processing libraries.

Preferred  

• Experience with vector databases such as Pinecone, Chroma, Milvus, or Weaviate.
• Familiarity with Docker, Kubernetes, and MLflow.
• Exposure to Apache Spark or Airflow for data engineering workflows.
• Experience with cloud platforms (AWS, Azure, or GCP).

Primary Technology Stack  

• Languages & Data Processing: Python, SQL, Pandas, NumPy, Apache Spark
• AI & Machine Learning: PyTorch, TensorFlow, Scikit-learn
• Application Frameworks: LangChain, LlamaIndex, CrewAI, n8n
• Core Methodologies: Retrieval-Augmented Generation (RAG), Model Fine-Tuning, Prompt Engineering, Embeddings
• Models & Infrastructure: OpenAI APIs, Hugging Face Ecosystem, Embedding Models
• Vector Databases: Pinecone, Chroma, Milvus, Weaviate
• Databases: PostgreSQL, MongoDB
• MLOps & DevOps: Docker, Kubernetes, MLflow, CI/CD, Git
• Cloud Platforms: AWS, Azure, GCP

Experience: 1–3 Years

Domain: Data Science | Data Engineering | Machine Learning | Generative AI | MLOps

About AuxoAI:

AuxoAI is a global platform-based services firm. We help companies—turn their strategies into practical digital and AI solutions. By understanding how our clients make decisions, we use digital and Artificial Intelligence (AI) technologies to drive growth, enhance their operations, improve customer experiences, and provide clear, actionable insights from their data. What We Do We work across various industries such as healthcare, high-tech, consumer packaged goods (CPG), finance etc., and in sales, marketing, and customer support functions.

We help our clients with accelerating their digital and AI journeys through:

• AI Application Development

• Data, Digital and Cloud acceleration using AI

• AI Native Product Engineering

We are seeking a skilled and experienced Data Engineer to join our dynamic team. The ideal candidate will have 6+ years of prior experience in data engineering, with a strong background in AWS (Amazon Web Services) technologies. This role offers an exciting opportunity to work on diverse projects, collaborating with cross-functional teams to design, build, and optimize data pipelines and infrastructure.

Responsibilities:

* Design, develop, and maintain scalable data pipelines and ETL processes leveraging AWS services such as S3, Glue, EMR, Lambda, and Redshift.

* Collaborate with data scientists and analysts to understand data requirements and implement solutions that support analytics and machine learning initiatives.

* Optimize data storage and retrieval mechanisms to ensure performance, reliability, and cost-effectiveness.

* Implement data governance and security best practices to ensure compliance and data integrity.

* Troubleshoot and debug data pipeline issues, providing timely resolution and proactive monitoring.

* Stay abreast of emerging technologies and industry trends, recommending innovative solutions to enhance data engineering capabilities.

Requirements :

* Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

* 6+ years of prior experience in data engineering, with a focus on designing and building data pipelines.

* Proficiency in AWS services, particularly S3, Glue, EMR, Lambda, and Redshift.

* Strong programming skills in languages such as Python, Java, or Scala.

* Experience with SQL and NoSQL databases, data warehousing concepts, and big data technologies.

* Familiarity with containerization technologies (e.g., Docker, Kubernetes) and orchestration tools (e.g., Apache Airflow) is a plus.

Description:

Analytical Engineer with strong Data Analyst and Data Modelling expertise required to translate business requirements into structured, analytics-ready datasets. Must have experience in Data Vault 2.0 / dimensional modelling and advanced SQL for data transformation and analysis. Role focuses on data profiling, validation, and delivery of trusted data for reporting and analytics. Experience with Azure/Databricks and enterprise data environments preferred. Strong stakeholder engagement and ability to bridge business and technical data requirements essential.

Must Have Skills

• Data Analysis
• Data Governance
• Data Modeling tool

Nice to Have Skills

• Business writing skills
• Governance, Risk and Controls
• Principles of project management
• Relevant regulatory knowledge
• Relevant software and systems knowledge

Key Responsibilities

Build and maintain data transformation pipelines using java Spark

Develop and optimize large-scale/CPU intensive data processing using Apache Spark

Orchestrate workflows using Airflow

Implement data quality checks, testing, and monitoring for pipeline. Good to have exposer into managing metadata, cataloguing, and lineage

Support schema evolution, backfills, and incremental processing

Ensure pipelines meet SLAs for freshness, reliability, and performance

Expertise/working knowledge in Spark and HBase(semantic layer, virtual datasets, Reflections)

Required Skills & Qualifications

Strong hands-on experience with 

HBase

Apache Spark

Experience with HBase or similar lakehouse query engines

Airflow 

Understanding of data catalogs and lineage (e.g., OpenLineage, DataHub, Apache Polaris , openlineage)

Proficiency in Java

Experience with Git-based development and CI/CD

Nice-to-Have Skills

OpenTable format/Iceberg ,Apache Arrow

CDC-based analytics pipelines

Cloud platforms (AWS)

Kubernetes-based data platforms

Company Name – Wissen Technology

Group of companies in India – Wissen Technology & Wissen Infotech

Work Location – Whitefield, Bangalore

Website and Company profile:

www.wissen.com

LinkedIn Page:

https://www.linkedin.com/company/wissen-technology/

While you may already know about Wissen and the company history, here is a quick rundown for you.

About Wissen Technology:

·    The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015.

·    Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains. We help clients build world class products.

·    Our workforce has highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like Wharton, MIT, IITs, IIMs, and NITs and with rich work experience in some of the biggest companies in the world.

·    Wissen Technology has grown its revenues by 400% in these five years without any external funding or investments.

·    Globally present with offices US, India, UK, Australia, Mexico, and Canada.

·    We offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.

·    Wissen Technology has been certified as a Great Place to Work®.

·    Wissen Technology has been voted as the Top 20 AI/ML vendor by CIO Insider in 2020.

·    Over the years, Wissen Group has successfully delivered $650 million worth of projects for more than 20 of the Fortune 500 companies.

·    We have served client across sectors like Banking, Telecom, Healthcare, Manufacturing, and Energy. They include likes of Morgan Stanley, Goldman Sachs, MSCI, StateStreet, Flipkart, Swiggy, Trafigura, GE to name a few.

About Role :

Key Responsibilities

• Build and maintain data transformation pipelines using java Spark
• Develop and optimize large-scale/CPU intensive data processing using Apache Spark
• Orchestrate workflows using Airflow
• Implement data quality checks, testing, and monitoring for pipeline. Good to have exposer into managing metadata, cataloguing, and lineage
• Support schema evolution, backfills, and incremental processing
• Ensure pipelines meet SLAs for freshness, reliability, and performance
• Expertise/working knowledge in Spark and HBase(semantic layer, virtual datasets, Reflections)

Required Skills & Qualifications

• Strong hands-on experience with 
• HBase
• Apache Spark
• Experience with HBase or similar lakehouse query engines
• Airflow 
• Understanding of data catalogs and lineage (e.g., OpenLineage, DataHub, Apache Polaris , openlineage)
• Proficiency in Java
• Experience with Git-based development and CI/CD

Nice-to-Have Skills

• OpenTable format/Iceberg ,Apache Arrow
• CDC-based analytics pipelines
• Cloud platforms (AWS)
• Kubernetes-based data platforms

Experience Required: Minimum 8 Years

About the Role:

Key Responsibilities

• Design and manage organization-wide MIS reports, dashboards, and executive reports.
• Develop automated reporting solutions using Python, VBA Macros, Power Query, and Advanced Excel.
• Analyze large datasets and provide business insights to leadership.

Eligibility Criteria

• 5+ years of experience in Business Intelligence, MIS, Business Analytics, or Data Analytics.
• Strong analytical and logical thinking with the ability to understand business requirements and convert data into meaningful business insights.
• Experience in developing dashboards and management reports using any Business Intelligence tool (Power BI, Tableau, Zoho Analytics, etc.).

Apply Now:

https://zfrmz.com/pAKb2ynfomIsuNwRfRbV?utm_source=cutshort

Design, build, and maintain end-to-end data pipelines to ingest, process, and transform data from files, streams,

APIs, and relational/non-relational databases into Snowflake.   Develop and optimize ELT/ETL pipelines using Snowflake SQL,

Snowpipe, Streams & Tasks, and cloud-native orchestration tools.   Implement scalable data models and schemas (staging, curated, and consumption layers) to support analytics and reporting use cases.   Develop transformations and business logic using SQL and Python, including Snowflake UDFs and stored procedures.   Optimize Snowflake performance and cost through query tuning, warehouse sizing, clustering, and resource management.   Integrate Snowflake with cloud storage and services across AWS and Azure (e.g., object storage, data integration, and mess

Role Overview

We are looking for a hands-on engineering leader who can own technical design and drive end-to-end development of scalable, high-quality systems. This role requires strong architectural depth, coding excellence, and the ability to mentor engineers while building production-grade applications in a fast-paced agile environment.

You will lead by example — designing systems, writing clean code, solving complex problems, and ensuring engineering best practices across the stack.

Key Responsibilities

• Lead technical design and architecture discussions (HLD & LLD).
• Build scalable, modular, and testable systems with strong engineering fundamentals.
• Own complex features end-to-end — design, development, testing, and optimization.
• Write high-quality, production-ready code with strong unit test coverage.
• Ensure clean code practices (SOLID principles, modular design, reusability).
• Drive engineering quality within CI/CD environments.
• Debug and resolve complex issues across distributed systems and APIs.
• Mentor engineers and elevate overall code quality standards.
• Collaborate effectively within agile teams and move with delivery velocity.

Core Technical Requirements

• 8+ years of hands-on software development experience.
• Strong proficiency in:
• Java
• Node.js
• Angular (6+)
• JavaScript / TypeScript
• SQL & MongoDB
• Deep understanding of system design, architecture patterns, and scalable application development.
• Strong debugging capabilities across:
• Distributed services
• API integrations
• UI state management
• Database query performance
• Experience working in CI/CD-driven engineering environments.

GenAI & AI Stack Expertise

• Hands-on experience with GenAI frameworks and LLM integrations.
• Familiarity with:
• LangChain ecosystem
• Hugging Face
• Prompt chaining & orchestration
• Understanding of AI cost optimization strategies.
• Ability to debug AI pipelines and optimize model interactions.

Engineering Expectations

• Strong ownership mindset.
• Ability to design independently and lead technical direction.
• Exceptional problem-solving and debugging skills.
• High attention to detail.
• Comfortable working in fast-paced agile/scrum setups.
• Strong communication and collaboration skills.
• Ability to mentor and guide other engineers.

Educational Qualification

• Bachelor’s degree in Computer Science / Engineering / related field
• or
• Master’s degree in Computer Science / Computer Applications

Hiring for Prinipal / Lead Data Architect

Exp : 12 - 16 yrs

Work Location : Bengaluru

Shift Timings : UK

Mode of Interview : F2F

Skills :

Databricks, Python, Scala, SQL, Snowflake, Structured Streaming, Apache Kafka, Flink/AWS.

10+ years of progressive experience in Data Engineering, Data Warehousing, and Data Architecture.

What you'll need

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field.
• 5+ years of professional data engineering experience.
• Experience designing and building cloud-native data solutions.
• Strong expertise with Google Cloud Platform, including BigQuery. Experience developing transformation frameworks using dbt.
• Strong SQL and Python programming skills.
• Experience with PostgreSQL or other relational databases.
• Experience orchestrating workflows using Apache Airflow or Cloud Composer.
• Experience implementing Infrastructure as Code using Terraform. Experience building CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or similar platforms.
• Experience developing scalable batch and streaming data pipelines. Strong problem-solving skills with the ability to balance scalability, reliability, and cloud cost optimization.

Preferred Qualifications

• Experience with Pub/Sub, Datastream, Dataflow, Cloud Storage, Cloud Functions, or Cloud Run.
• Experience building multi-tenant SaaS platforms.
• Experience implementing metadata-driven governance, lineage, and data quality frameworks.
• Experience supporting AI, machine learning, or customer-facing analytics platforms.
• Experience with Kubernetes and Docker.

About the Role

We are looking for a hands-on Principal Engineer who owns enterprise integration architecture from end to end — from the first whiteboard sketch through production delivery and ongoing governance. This is not a management role, and it is not a specialist role. We are not looking for an Angular architect, a Java architect with cloud exposure. We need a true Full Stack Integration Architect who has designed, built, and governed how large-scale enterprise systems connect, communicate, and operate reliably at scale.

You will be expected to go deep on integration design, backend engineering, data architecture, cloud infrastructure, and front-end development — and to defend every decision under rigorous technical scrutiny. If your experience is anchored in one layer or one language, this is not the right opportunity.

What You Will Own

• End-to-end integration architecture across cloud platforms (AWS, Azure, GCP), on-premises systems, and third-party services — designed, delivered, and governed by you
• Definition and enforcement of integration patterns across the enterprise: API-first, microservices, event-driven, and real-time and batch processing
• Seamless data flow, application interoperability, and fault tolerance across mission-critical platforms
• Quality and testing strategy across integrated solutions — automation frameworks, release readiness, validation, and quality governance
• Full-stack engineering across all layers: front-end, backend services, data, and cloud infrastructure
• GenAI and LLM integration into production-grade digital platforms
• Technical mentorship across engineering levels and cross-team architectural influence
• Clear communication of complex architectural decisions to both engineering teams and business stakeholders

What You Must Have

• 15+ years of hands-on software engineering experience with a strong track record in enterprise-scale distributed systems
• Proven end-to-end integration architecture experience — you have designed, governed, and delivered enterprise integrations across complex, heterogeneous environments; not just implemented someone else's design
• Genuine full-stack depth across all layers:
• Front-end: Angular, TypeScript
• Backend: Java, Python, Go, or Node.js — at least one deeply, others functionally
• Data: SQL, NoSQL, caching (Redis), event streaming platforms
• Strong database knowledge in both theory and practice — relational, NoSQL, distributed data, and streaming
• Cloud-native hands-on experience across at least one of AWS, Azure, or GCP — Kubernetes, Docker, and Infrastructure as Code (Terraform) are expected
• CI/CD pipeline experience tied to enterprise release cycles and quality governance
• The ability to clearly articulate the technical design, tradeoffs, and problem-solving approach behind your own recent work — this will be probed in depth during interviews

Integration & API Technologies

You should have hands-on experience across several of the following:

REST · GraphQL (Apollo Federation or similar) · gRPC · Kafka or equivalent event streaming · Microservices architecture · Event-driven architecture · B2B and internal system integrations · Real-time and batch integration patterns

What Will Strengthen Your Profile

• GCP-native database experience: BigQuery, Spanner, Bigtable
• Production-grade GenAI or LLM integration — not just prototypes or proof of concepts
• Experience with AI development tools: Cursor, GitHub Copilot, Vertex AI Studio, Claude Code
• Healthcare or regulated-industry platform experience
• MLOps or AI lifecycle management
• Identity, security, and privacy architecture at enterprise scale
• Observability tooling: Datadog, Prometheus, Grafana

Do Not Apply If

• You are primarily an Angular Architect, a Java architect, or strong in one layer only — this role demands genuine end-to-end depth across the full stack
• You cannot walk through the architecture, implementation decisions, and tradeoffs of your own recent projects with technical precision
• You have not designed or governed integrations at enterprise scale across distributed, heterogeneous systems
• Your backend, database, or integration experience is surface-level, theoretical, or limited to a single technology

Why This Role

This role carries real architectural authority at a large enterprise. You will set integration direction across business-critical platforms, influence engineering standards, and solve problems that matter at significant scale. The technical bar is deliberately high — because the impact is real.

Job Summary

We are seeking a skilled Azure Data Engineer with hands-on experience in Azure Data Services, Azure Databricks, Python, PySpark, and SQL. The ideal candidate will be responsible for designing, developing, and optimizing scalable data pipelines and data processing solutions to support business intelligence, analytics, and reporting requirements.

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines using Azure Databricks and PySpark.
• Build and optimize data processing workflows using Python and SQL.
• Develop and manage data ingestion pipelines from multiple structured and unstructured data sources.
• Work with Azure Data Factory (ADF) to orchestrate and schedule data pipelines.
• Implement data transformation and cleansing logic using PySpark.
• Optimize SQL queries and Spark jobs for performance and scalability.
• Collaborate with data architects, analysts, and business stakeholders to understand data requirements.
• Ensure data quality, integrity, and governance across the data platform.
• Monitor, troubleshoot, and resolve production data pipeline issues.
• Follow coding standards, version control, and CI/CD best practices.

Required Skills

• Strong experience with Microsoft Azure cloud services.
• Hands-on experience with Azure Databricks.
• Strong programming skills in Python.
• Expertise in PySpark for large-scale data processing.
• Strong SQL skills, including query optimization and performance tuning.
• Experience with Azure Data Factory (ADF).
• Knowledge of Delta Lake, Spark SQL, and Databricks notebooks.
• Experience with Git or Azure DevOps for source code management.
• Understanding of data warehousing concepts and ETL/ELT processes.

Preferred Skills

• Experience with Azure Synapse Analytics.
• Knowledge of Delta Live Tables (DLT).
• Experience with Azure Data Lake Storage (ADLS Gen2).
• Familiarity with Unity Catalog and data governance.
• Exposure to CI/CD pipelines and infrastructure-as-code.
• Experience working in Agile/Scrum environments.

Location: Bangalore / Hybrid

Duration: 6 months

Internship type: Full-time

Stipend: ₹20,000 per month

Potential outcome: Full-time opportunity based on performance

About the Role

We are looking for a hands-on Supabase Engineering Intern to help build and strengthen the backend of our SaaS products.

You will work with Supabase not merely as a hosted database, but as a complete backend platform—including PostgreSQL, authentication, Row-Level Security, storage, database functions, migrations, and application integrations.

This is a full-time, six-month internship suited to someone who has already built projects using Supabase and wants experience working on a real multi-tenant production application.

What You Will Work On

• Design and maintain PostgreSQL tables, relationships, indexes, and constraints.
• Implement secure multi-tenant access using Supabase Row-Level Security policies.
• Integrate Supabase Auth with a Next.js and TypeScript application.
• Build backend workflows using database functions, triggers, RPCs, and Edge Functions.
• Manage schema migrations across development and production environments.
• Work with Supabase Storage and implement secure file-access policies.
• Diagnose slow queries and improve database performance.
• Build reliable application APIs and data-access layers.
• Write seed data, automated tests, and technical documentation.
• Help investigate and resolve production database, authentication, and permission issues.
• Review existing implementations for data leakage, incorrect RLS policies, and security risks.

Required Skills

• Practical experience building at least one project using Supabase.
• Good understanding of SQL and relational database fundamentals.
• Familiarity with PostgreSQL tables, joins, indexes, constraints, and transactions.
• Experience with JavaScript or TypeScript.
• Basic experience with Next.js, React, Node.js, or another modern web framework.
• Understanding of authentication and authorization concepts.
• Ability to use Git and GitHub.
• Strong debugging and problem-solving skills.
• Ability to commit full-time for the complete six-month internship.

Good to Have

• Experience implementing Supabase Row-Level Security policies.
• Understanding of multi-tenant SaaS architecture.
• Experience with Supabase Edge Functions, database functions, triggers, or RPCs.
• Familiarity with PostgreSQL query optimization and EXPLAIN ANALYZE.
• Experience managing Supabase migrations through the CLI.
• Knowledge of REST APIs, webhooks, background jobs, or third-party integrations.
• Experience using AI coding tools such as Cursor, Claude Code, or Codex.
• Contributions to open-source projects or independently deployed applications.

Who Should Apply

You may be a good fit if you:

• Have built and deployed a working Supabase application.
• Enjoy backend engineering, databases, and debugging.
• Can explain why you structured your database and access policies in a particular way.
• Are comfortable learning through documentation and experimentation.
• Take ownership instead of waiting for detailed instructions for every task.
• Want meaningful product-engineering experience rather than a certificate-based internship.

What You Will Learn

• How production-grade multi-tenant SaaS applications are designed.
• Secure database access using PostgreSQL Row-Level Security.
• Development-to-production database migration workflows.
• Authentication, authorization, storage, and backend architecture.
• Performance optimization and production debugging.
• How a startup engineering team ships and operates real products.

Application Process

To apply, please share:

1. Your resume.
2. GitHub profile.
3. Links to one or two relevant projects.
4. A short explanation of how you used Supabase in one project.
5. An example of an RLS policy, database function, or Edge Function you have written.
6. Your current location and availability.
7. Confirmation that you can commit full-time for six months.

Important: Tutorial-only projects will not be sufficient. We are looking for candidates who can demonstrate that they understand the database and security decisions made in their projects.

Who are we?

Trendlyne is a funded, profitable products startup in the financial markets space. We have cutting-edge analytics products built for Indian and US customers, for stock markets and mutual funds.

Our founders are IIT + IIM graduates, with strong tech and marketing experience. We have top finance and management experts on the Board of Directors.

What do we do?

We build powerful analytics in the US and Indian stock market space that are best in class. Organic growth in B2B and B2C products have already made the company profitable. We deliver 1 billion+ APIs every month to B2B customers, and have a B2C website and app.

Tech Stack :

• Postman
• Playwright
• Jenkins

Job Responsibilities :

• Design, develop, and maintain scalable UI and API automation frameworks from scratch.
• Build and execute automated test suites for frontend, backend, and API applications using tech stacks like Playwright, Selenium, and Postman.
• Develop automation for web applications, APIs, and distributed microservices.
• Perform white-box and black-box testing to ensure application quality.
• Integrate automation suites into CI/CD pipelines using tools like Newman and Bruno CLI.
• Identify, track, and resolve defects while improving test stability, execution speed, and overall automation efficiency.
• Collaborate with developers, DBAs, and product managers to ensure quality throughout the development lifecycle.
• Drive continuous improvements in automation frameworks, testing methodologies, and engineering processes.

Required Skills & Qualifications :

• 1-3 years of experience as an SDET, Automation Engineer, or Full-Stack QA.
• Experience with UI automation using Playwright and Selenium.
• Strong experience in API testing and automation using Postman.
• Proficient in JavaScript for building automation scripts, API test assertions, and test utilities.
• Experience with white-box and black-box testing, and automation design patterns such as Page Object Model (POM).
• Familiarity with BDD frameworks (e.g., Cucumber) and modern testing practices.
• Experience with Git and integrating automation suites into CI/CD pipelines using Jenkins, GitHub Actions, or GitLab CI.
• Working knowledge of SQL for database validation and backend testing.

We are looking for a Junior Full Stack Developer who is eager to kickstart their career in software development. This role offers a fantastic opportunity to grow by working closely with experienced engineers on real product features that impact thousands of learners. Click "Apply Now" in https://gosuperedtech.com/career/junior-fullstack-developer to apply

QA Engineer – Manual Testing

Location: Nearshore (Ecuador/Colombia), Remote / Offshore (India), Remote

Experience: 6-8 Years

Algoworks

www.algoworks.com

About the company

Algoworks is an award-winning artificial intelligence, engineering services and experience transformation firm with offices across the United States, Europe, South America and India. We bring together a global team of engineers, architects, designers, researchers and operators united by rigor, accountability and a commitment to delivering measurable results.

For over 20 years, Algoworks has partnered with Fortune 500 organizations across the Americas, Europe and Asia to define, build and run technology that drives meaningful business outcomes. Our work combines human-centered design, engineering excellence and AI-powered capabilities to solve complex challenges with clarity and precision. Innovation, particularly in the responsible application of AI, is embedded in how teams approach problem-solving and continuous improvement.

At Algoworks, growth is continuous and closely tied to impact. Teams collaborate across geographies and disciplines, strengthening outcomes through shared insight and collective expertise. The culture values transparency, open dialogue and an environment where every voice is heard and contribution is recognized.

Through collaboration, accountability and a focus on results, Algoworks operates at the intersection of technology and people, building not only advanced systems but strong global teams that elevate performance and create lasting impact.

Follow the video below to know about us! Clipchamp

Role overview

We are seeking a QA Engineer with strong manual testing experience to validate enterprise applications across functional, integration and regression scenarios.

You will work closely with product, engineering and business teams to ensure releases are stable, traceable and ready for production use.

Key responsibilities:

1.Test planning and execution

• Create and execute test cases based on requirements, user stories and acceptance criteria.
• Perform functional, regression, integration and end-to-end testing across application workflows.
• Validate UI, API and data-driven scenarios with clear evidence and defect documentation.

2.Defect management

• Log, triage, retest and track defects through closure.
• Work with developers and business stakeholders to clarify expected behavior and edge cases.
• Maintain test execution status, defect metrics and release readiness inputs.

3.Collaboration and quality

• Participate in sprint planning, daily reviews, demos and release checkpoints.
• Support UAT preparation and provide clear test summaries for stakeholders.

Required technical skills and competencies:

• 6+ years of QA experience with strong manual testing background.
• Strong understanding of STLC, test case design, defect lifecycle and regression planning.
• Experience testing web applications, APIs and data-driven workflows.
• Ability to understand requirements and convert them into testable scenarios.
• Good communication skills and attention to detail.

Must have skills:

• Strong manual testing and regression testing experience.
• Ability to write clear test cases and defect reports.
• Experience validating enterprise web applications.
• Comfortable working with distributed Agile teams.

Good to have skills:

• Exposure to API testing tools such as Postman or similar.
• Basic SQL knowledge for data validation.
• Experience with Agile delivery, Jira/Azure DevOps and test management tools.
• Exposure to accessibility, security or performance testing concepts.

Desired attributes:

• Strong ownership mindset and engineering discipline.
• High attention to detail with strong analytical and problem-solving skills.
• Effective communicator who collaborates well across distributed, cross-functional teams.
• Comfortable working in a fast-paced environment with evolving priorities.
• Passion for continuous improvement, clean code and delivery excellence.

Interview Process

2-3 rounds of discussion.

Job Summary

We are looking for an experienced Oracle Database Administrator (DBA) with strong expertise in Oracle Database administration, Linux environments, SQL, monitoring tools, and application support. The ideal candidate will be responsible for managing Oracle databases, ensuring high availability, monitoring database performance, troubleshooting production issues, and supporting business-critical applications.

Key Responsibilities

• Install, configure, upgrade, and maintain Oracle Database environments.
• Perform database administration activities including backup, recovery, cloning, patching, and migration.
• Monitor database health, performance, and availability using monitoring tools.
• Optimize SQL queries and database performance.
• Troubleshoot database and application-related issues in production environments.
• Perform database capacity planning, performance tuning, and health checks.
• Manage Oracle RMAN backups and recovery strategies.
• Support application deployments and coordinate with development teams.
• Analyze logs and resolve database, application, and Linux server issues.
• Create and maintain database documentation, SOPs, and operational procedures.
• Participate in on-call support and incident management activities.
• Ensure database security, compliance, and disaster recovery readiness.

Required Skills

• Strong experience with Oracle Database Administration (11g/12c/19c)
• Good knowledge of Linux (RHEL/CentOS/Oracle Linux)
• Strong SQL and PL/SQL troubleshooting skills
• Experience with database backup and recovery using RMAN
• Knowledge of Oracle Data Pump (Export/Import)
• Experience with performance tuning and query optimization
• Hands-on experience with monitoring tools such as:
• OEM (Oracle Enterprise Manager)
• Nagios
• Zabbix
• SolarWinds
• AppDynamics
• Splunk
• Grafana
• Experience in production/application support

• Skilled C/C++ Software Engineer to design, develop, and optimize high-throughput, low-latency client-server based application
• Responsible for building backend business logic and managing highly efficient data layers interacting with SQL databases
• Expertise in C++ patterns, memory management, multi-threaded programming, and SQL performance tuning
• Design, build, and maintain efficient, reusable, and reliable C/C++ code for core application layers
• Implement and manage database connectivity abstractions utilizing APIs
• Develop, optimize, and maintain SQL queries, stored procedures, triggers, views, and database schemas
• Diagnose systems issues, identify memory leaks, refactor legacy codebases
• Participate in code reviews, write unit tests, perform testing and operate actively within Agile sprints
• 8+ years of professional development experience using standard C++ with a strong grasp of OOP
• Hands-on expertise with relational databases (e.g., Microsoft SQL Server, MySQL, PostgreSQL, or Oracle)
• Strong proficiency in multi-threading, concurrency, IPC, and socket programming
• Experience developing on Windows environments
• Familiarity with debugging tools and version control platforms like Git
• Background in UI frameworks that hook into C++ backends
• Familiarity with scripting languages (Python or Shell scripting) for database data loading and automation

Quantiphi is an award-winning AI-first digital engineering company driven by the desire to solve transformational problems at the heart of business. Quantiphi solves the toughest and complex business problems by combining deep industry experience, disciplined cloud and data-engineering practices, and cutting-edge artificial intelligence research to achieve quantifiable business impact at unprecedented speed. We are passionate about our customers and obsessed with problem-solving to make products smarter, customer experiences frictionless, processes autonomous and businesses safer by detecting risks, threats and anomalies. Together with partners and customers, we embark on a data and AI led transformation journey that delivers impactful and measurable results.

Job Overview:

We are seeking a highly skilled DBA, AWS Database Migration & Data Engineering Consultant with strong Oracle/SQL Server expertise to lead the rehosting and modernization of enterprise databases into AWS. This role will primarily focus on Oracle/SQL Server database optimization, transaction retention, and seamless migration continuity, especially in environments leveraging services/tools like Oracle Exadata, Oracle Data Integrator (ODI), and similar tools.

The ideal candidate combines deep experience in Oracle/SQL Server database platforms, large-scale migration strategies, and modern AWS data engineering practices, ensuring minimal downtime, data integrity, and performance optimization during migration.

Key Responsibilities:

• Lead end-to-end SQL Server database migration from on-prem (including Exadata) to AWS platforms such as Amazon RDS, EC2, and Aurora PostgreSQL-compatible environments.
• Ensure transaction continuity, CDC-based replication, and minimal downtime cutovers.
• Perform Oracle database performance tuning, indexing strategies, and query optimization prior to migration.
• Design and execute schema conversion and validation strategies (Oracle to PostgreSQL/MySQL where applicable).
• Leverage AWS DMS and SCT for full load and continuous replication migrations.
• Work with ODI pipelines and existing ETL workflows, ensuring compatibility or modernization on AWS (Glue/EMR).
• Design and implement secure, highly available database architectures on AWS.
• Build and optimize data pipelines using AWS Glue, PySpark, or EMR.
• Manage S3-based data lakes and metadata using Glue Data Catalog.
• Collaborate with application, infrastructure, and analytics teams for smooth migration and post-migration stabilization.
• Implement data validation, reconciliation, and rollback mechanisms.
• Ensure compliance with security, governance, and regulatory standards (GDPR, HIPAA, etc.).

Must Have:

• 7+ years of experience in database administration and migration (SQL Server, Oracle, MySQL).
• Experience migrating Oracle, SQL Server, and MySQL databases to AWS (RDS, EC2, Aurora).
• Hands-on with AWS DMS and SCT for full load and CDC replication.
• Strong experience in database administration (HA, DR, backup/restore, schema conversion).
• Experience building pipelines using AWS Glue, PySpark, or Spark on EMR.
• Strong experience with S3-based data lakes and Glue Data Catalog.
• Strong SQL, Python/PySpark, and shell scripting.

Nice to Have:

• Experience with Aurora Global Database and cross-region replication.
• Familiarity with Oracle GoldenGate for real-time replication.
• Knowledge of Data Mesh architecture and cross-account data sharing in AWS.
• Experience with Redshift, Lake Formation, and modern data warehousing.
• Exposure to CI/CD pipelines for database and ETL deployments (CodePipeline, Jenkins).
• AWS Certifications (Solutions Architect Associate / Data Engineer Associate).
• Experience mentoring teams and driving knowledge transfer sessions.
• Experience with Infrastructure as Code (Terraform / CloudFormation).

As an Associate Technical Architect - Data, you will lead the end-to-end design, architecture, and implementation of enterprise-scale AWS data platforms and Lakehouse solutions. You will provide technical leadership across the entire project lifecycle—from solution architecture and technology selection to implementation, optimization, deployment, and production support.

The role requires deep hands-on expertise in modern AWS data engineering technologies, strong architectural skills, and the ability to mentor engineering teams while collaborating with business and technical stakeholders to deliver scalable, secure, and high-performance data solutions.

Must Have Skills:

• 8+ years of experience designing and delivering enterprise-scale Data Lake, Lakehouse, or Data Warehouse solutions on AWS.
• Proven experience leading end-to-end implementation of cloud-native data platforms, including architecture, design, development, deployment, and production support.
• Strong hands-on expertise in SQL (analytical queries, window functions, stored procedures), Spark/PySpark, and Python.
• Strong hands-on experience designing and implementing Lakehouse architectures using Apache Iceberg.
• Strong knowledge of AWS services including EMR, S3, Athena, Glue Catalog, Aurora PostgreSQL, Lambda, CloudWatch, SQS, SNS, EventBridge, IAM, and related AWS data services.
• Experience designing and implementing scalable batch and streaming data pipelines using AWS native services.
• Strong expertise in Spark/PySpark performance tuning and optimization.
• Hands-on experience optimizing Apache Iceberg and Aurora PostgreSQL for performance, scalability, and cost efficiency.
• Strong understanding of data modeling, distributed data processing, partitioning strategies, file formats, and Lakehouse/Data Lake architectures.
• Strong understanding of AWS architecture principles, including security, networking, disaster recovery, scalability, resiliency, and cost optimization.
• Experience designing orchestration workflows using Apache Airflow or AWS Step Functions.
• Ability to define cloud data platform architectures, evaluate technology choices, and articulate architectural trade-offs and best practices.
• Experience leading globally distributed engineering teams, mentoring developers, conducting architecture/code reviews, and driving engineering best practices.
• Excellent communication, stakeholder management, problem-solving, and technical leadership skills with the ability to translate business requirements into scalable technical solutions.
• AWS Solution Architect Associate/Professional or AWS Data Engineer Associate certification is preferred.

Good to Have Skills:

• Experience with ClickHouse, including performance tuning and query optimization.
• Experience with Infrastructure as Code using Terraform or CloudFormation.
• Experience implementing CI/CD pipelines for data engineering workloads.
• Exposure to Kafka, Hive, HDFS, or other Big Data technologies.
• Hands-on experience using GenAI-assisted development tools such as Kiro, GitHub Copilot, Cursor, or similar AI coding assistants to improve engineering productivity.
• Experience integrating with data governance and metadata management tools such as Collibra.
• Experience integrating with data virtualization platforms such as Denodo.
• Telecom/Mobile Network domain knowledge is preferred but not mandatory.

Job description

We are seeking an experienced and highly skilled Workato Developer to lead integration efforts between Salesforce, enterprise data warehouses, and other source systems. The ideal candidate will have deep experience in ETL processes, data migration, and ongoing data synchronization using Workato. You will be responsible for building scalable, secure, and performant integrations for a large enterprise environment. Key Responsibilities:

• Design, develop, and maintain data integrations between Salesforce and external systems (e.g., data warehouse, ERP, marketing platforms) using Workato. • Implement ETL workflows for both one-time data migrations and ongoing bi-directional data sync. • Create, configure, and maintain recipes, connections, and custom connectors in Workato. • Collaborate with Salesforce developers, data engineers, and business analysts to understand integration needs and translate them into technical solutions. • Monitor and optimize performance of integration flows and ensure data accuracy, error handling, and logging. • Develop and maintain integration documentation, data mapping, and transformation logic. • Work closely with data warehouse teams to enable seamless data exchange and transformation. • Support data quality initiatives by identifying data anomalies and recommending corrective actions. • Ensure compliance with enterprise security and data governance standards. Required Qualifications:

• 5–7 years of professional experience in data integration, ETL, or data engineering roles. • Hands-on experience with Workato or similar iPaaS platforms (e.g., MuleSoft, Boomi, SnapLogic) with proven track record of successful Salesforce integrations. • Strong expertise in integrating Salesforce with other enterprise systems (ERP, marketing tools, databases, APIs, etc.). • Proficiency in data transformation, JSON/XML, REST/SOAP APIs, and SQL. • Experience working in large enterprise environments with complex data landscapes. • Solid understanding of Salesforce data model, objects, and API limits. • Familiarity with data warehousing concepts, such as dimensional modeling, data marts, and analytics pipelines. • Bachelor’s degree in Computer Science, Information Systems, or a related field. Preferred Qualifications:

• Workato Certification or similar iPaaS certifications. • Experience with CI/CD, version control (Git), and Agile methodologies. • Exposure to Salesforce Data Loader, Salesforce Connect, or external object configurations

Technical Expertise

• Proficiency in Node.js or Python – Hands-on experience with backend development frameworks and best practices.

• Expertise in SQL/NoSQL Databases – Strong experience with MySQL, PostgreSQL, MongoDB, or DynamoDB.

• ElasticSearch & API Development – Strong knowledge of REST APIs, ElasticSearch, and high-availability system design.

• Cloud & DevOps – Hands-on experience with AWS, Kubernetes, Docker, and CI/CD pipelines.

• Data Structures & Algorithms – Strong command over data structures, algorithms, OOD, and design patterns.

• Version Control & Deployment – Experience with Git, GitHub Actions, and other deployment systems.

• High-Performance Systems – Implemented solutions that handle high availability, concurrency, and low-latency requirements.

Job Title : Senior Software Development Engineer in Test (Sr. SDET)

Experience : 5 to 10 Years

Location : Bengaluru (5 Days Work From Office)

Working Days : Monday to Friday (5 Days a Week)

Notice Period : Immediate to 15 Days

Interview Process : 2 Technical Client Rounds

Role Overview :

We are looking for a Senior SDET with strong expertise in Backend/API Automation Testing for Microservices-based applications.

The ideal candidate should have experience building scalable automation frameworks, validating distributed systems, and integrating automation into CI/CD pipelines.

Mandatory Skills :

Java, Backend Automation Testing, API Automation, REST Assured, Microservices, TestNG, JUnit, Maven / Gradle, CI/CD, SQL, Kafka / RabbitMQ / SQS, Docker, Kubernetes, REST APIs, Distributed Systems, Grafana / Prometheus / Kibana / Splunk.

Preferred Skills :

AWS / GCP / Azure, MongoDB, Redis, Cassandra, WireMock, Pact, JMeter, Gatling, k6, Python, Shell Scripting.

Key Responsibilities :

• Design and maintain API/backend automation frameworks.
• Perform functional, integration, regression, and end-to-end testing.
• Automate testing for microservices and event-driven architectures.
• Integrate automation into CI/CD pipelines.
• Validate asynchronous workflows using messaging systems.
• Collaborate with Development and DevOps teams to ensure high-quality releases.
• Mentor QA engineers and improve automation best practices.

Required Skills & Qualifications :

• 5+ years of experience in Software Testing with a strong focus on Backend / API Automation.
• Hands-on experience testing Microservices-based applications.
• Strong expertise in REST API testing using REST Assured, HTTP Client, Postman, or similar tools.
• Excellent programming skills in Java with hands-on experience developing scalable automation frameworks.
• Strong experience with TestNG, JUnit, Maven/Gradle, and CI/CD integration.
• Hands-on experience validating asynchronous workflows using Kafka, RabbitMQ, AWS SQS, or similar messaging platforms.
• Strong knowledge of SQL and relational databases such as MySQL, PostgreSQL, or Oracle, including complex queries and joins.
• Experience working with Docker, Kubernetes, and containerized applications.
• Experience validating applications deployed in Ephemeral or dynamic test environments.
• Good understanding of distributed systems and backend application architecture.
• Experience with observability and monitoring tools such as Grafana, Prometheus, Kibana, or Splunk.
• Strong understanding of software design principles, automation architecture, and test automation design patterns.

Preferred Skills :

• Experience with NoSQL databases such as MongoDB, Redis, or Cassandra.
• Knowledge of contract testing, service virtualization, and mocking tools such as WireMock or Pact.
• Familiarity with cloud platforms including AWS, GCP, or Azure.
• Experience with performance and resilience testing tools such as JMeter, Gatling, or k6.
• Working knowledge of Python or Shell scripting.

Job Summary

We are seeking a skilled Python Developer with experience in building scalable applications using Python frameworks such as Flask and Django. The ideal candidate should have hands-on experience with PySpark for big data processing and strong SQL skills for data analysis and database management.

Key Responsibilities

• Design, develop, test, and maintain Python-based applications.
• Develop RESTful APIs using Flask and/or Django.
• Build scalable data processing pipelines using PySpark.
• Write efficient SQL queries, stored procedures, and optimize database performance.
• Integrate applications with databases and third-party services.
• Collaborate with cross-functional teams to gather and implement business requirements.
• Troubleshoot, debug, and enhance application performance.
• Follow coding standards, perform code reviews, and maintain technical documentation.

Required Skills

• Strong proficiency in Python.
• Hands-on experience with Flask and/or Django.
• Experience with PySpark for large-scale data processing.
• Strong knowledge of SQL (writing complex queries, joins, indexing, optimization).
• Understanding of REST APIs and microservices architecture.
• Experience with Git/version control.
• Knowledge of relational databases such as PostgreSQL, MySQL, SQL Server, or Oracle.
• Good problem-solving and analytical skills.

Preferred Skills

• Experience with cloud platforms (AWS, Azure, or GCP).
• Familiarity with Docker and Kubernetes.
• Knowledge of CI/CD pipelines.
• Experience with Airflow or other workflow orchestration tools.
• Understanding of Agile/Scrum methodologies.

Roles & Responsibilities

What You'll Do

•    Design and build the core Node.js services and REST APIs from scratch, built to scale as we grow.

•    Own system design end to end: service boundaries, data flow, caching, queueing, failure modes, and scale.

•    Ship AI/ML-powered features, including LLM and agentic capabilities.

•    Use LLMs and agentic tooling across the SDLC, from design and code generation to testing and debugging.

•    Model data and optimize SQL/NoSQL queries for performance; integrate with third-party platforms.

•    Debug production issues, own reliability, and set the engineering standards the rest of the team will grow into.

Ideal Candidate

1.Strong Backend Node.js Developer Profile

2.Mandatory (Experience 1) – Must have 6+ years of hands-on Backend Engineering experience using Node.js building production-grade systems for B2C products at meaningful consumer scale

3.Mandatory (Experience 2) – Must be AI-native in their own engineering workflow: already uses LLMs and agentic tooling across the SDLC, from design and code generation through testing and debugging

4.Mandatory (Experience 3) – Must have owned backend architecture end to end, including greenfield builds. Should be able to make early architecture calls and reason clearly about service boundaries, data flow, caching, queueing, failure modes, scalability, and reliability trade-offs under real constraints.

5.Mandatory (Experience 4) – Must have a solid understanding of backend fundamentals, including API development, service-oriented architecture, data structures, algorithms, and clean coding practices

6.Mandatory (Experience 5) – Must have experience designing, building, and maintaining APIs and backend services, including integrations with external systems and third-party platforms

7.Mandatory (Experience 6) – Must have strong experience working with databases (SQL and/or NoSQL), including efficient data modeling, query optimization, and performance tuning

8.Mandatory (Company) – Must have worked in B2C product companies / startups at meaningful consumer scale. (WealthTech, FinTech, or high-growth consumer product background is highly preferred)

9.Mandatory (Stability) – Must have a stable career history, with consistent tenure across previous companies; frequent job-hopping will not be considered

10.Mandatory (AI Product) – Must have experience building and shipping products that use LLMs and agentic workflows to end users.

11.Mandatory (Compensation Alignment) – Candidate must be comfortable with the compensation structure where the company matches their current CTC and provides ESOPs, without any salary hike.

12.Mandatory (Exclusion) – Candidates currently working at Stable Money will not be considered

13.Mandatory (Note1) – Seed-funded WealthTech startup. Candidate must be comfortable in an early-stage, fast-paced environment with shifting priorities

14.Mandatory (Note2) – Founding tech team role. Work from office, 6 days a week. Candidate must be willing to own the backend end to end and set engineering standards

15.Preferred (College) – Tier1 engineering college is a plus plus

16.Preferred (Note) – Previous founding engineer or early-team startup experience is a plus.

Position: Laravel Developer

Company: Mayura Consultancy Services

Experience: 2 yrs

Location: Bangalore

Skill: HTML, CSS, Bootstrap, JavaScript, Ajax, jQuery, PHP and Laravel

Work Location: Work From Home (WFH)

Website: https://www.mayuraconsultancy.com/careers/mcs-laravel-developer-opening?r=jlp

Requirements:

• Prior experience in Full Stack Development using PHP Laravel.

Perks of Working with MCS:

• Contribute to Innovative Solutions: Join a dynamic team at the forefront of software development, contributing to innovative projects and shaping the technological solutions of the organization.
• Work with Clients from across the Globe: Collaborate with clients from around the world, gaining exposure to diverse cultures and industries, and contributing to the development of solutions that address the unique needs and challenges of global businesses.
• Complete Work from Home Opportunity: Enjoy the flexibility of working entirely from the comfort of your home, empowering you to manage your schedule and achieve a better work-life balance while coding innovative solutions for MCS.
• Opportunity to Work on Projects Developing from Scratch: Engage in projects from inception to completion, working on solutions developed from scratch and having the opportunity to make a significant impact on the design, architecture, and functionality of the final product.
• Diverse Projects: Be involved in a variety of development projects, including web applications, mobile apps, e-commerce platforms, and more, allowing you to showcase your versatility as a Full Stack Developer and expand your portfolio.

Joining MCS as a Full Stack Developer opens the door to a world where your technical skills can shine and grow, all while enjoying a supportive and dynamic work environment. We're not just building solutions; we're building the future—and you can be a key part of that journey.

Job Title : Generalist Fullstack Engineer (Java / Node.js / React / AI-Driven Engineering)

Experience : 5 to 10 Years

Location : Bengaluru (Koramangala) – Hybrid (3 Days WFO)

Employment Model : C2H

Joining : Immediate to 20 Days Notice Only

Open Positions : 4

About the Role :

We are hiring a hands-on Generalist Fullstack Engineer for a high-impact engineering team. This is a 90% coding role focused on building scalable products across frontend, backend, cloud, and modern AI-enabled engineering practices.

Mandatory Skills :

Full Stack Development (Frontend + Backend), JavaScript / Java / Node.js / Python / Go, ReactJS or modern UI frameworks, Microservices, AWS, Docker, Kubernetes, SQL/NoSQL, CI/CD, Terraform (IaC), Automated Testing (TDD), AI-enabled software delivery, and strong hands-on coding experience.

Key Requirements :

• 5 to 10 years of software development experience.
• Strong expertise in JavaScript, Java, Node.js, Python, or Go.
• Hands-on experience with ReactJS / modern frontend frameworks.
• Strong backend depth with microservices & event-driven architecture.
• Experience with AWS, Docker, Kubernetes.
• Exposure to AI tools/frameworks in software delivery.
• Strong understanding of SQL/NoSQL databases & data modelling.
• Experience with CI/CD, automated testing, Terraform (IaC).
• Working knowledge of TDD, pair programming, continuous integration, security best practices.

Roles & Responsibilities :

• Develop and own production-grade full-stack applications.
• Build AI-first engineering workflows to improve delivery efficiency.
• Drive architecture decisions and engineering best practices.
• Deliver scalable cloud-native solutions.
• Collaborate across product, QA, design, and architecture teams.
• Improve system reliability through monitoring, automation, and testing.

Ideal Candidate :

✔ Strong end-to-end ownership (Frontend + Backend).

✔ Deep hands-on coding mindset (not people-management focused).

✔ Strong AWS + SQL exposure.

✔ Experience building and managing UI state and frontend components.

✔ Stable career progression (avoid frequent job changes).

Interview Process :

1. Technical Round – GT (Assemble)
2. Technical Round – Client
3. Technical Round – Client
4. HR Discussion & Offer

Great engineers aren’t built by watching.

They’re built by solving real problems.

At AbleCredit, interns don’t work on toy projects or isolated assignments. From your first few weeks, you’ll contribute to production systems used by enterprise customers, collaborate with experienced engineers, and learn what it takes to build reliable software at scale.

If you’re curious, enjoy building things, and want to accelerate your engineering career, we’d love to work with you.

What You’ll Build?

As an Engineering Intern, you’ll work alongside our engineering team to build and improve products used by real customers.

Depending on your interests and the team’s priorities, you’ll:

● Build backend services, APIs, and platform features.

● Develop user-facing features across our web applications.

● Work with databases, cloud services, and third-party integrations.

● Debug production issues and improve system reliability.

● Participate in code reviews and technical design discussions.

● Write clean, maintainable, and well-tested code.

● Learn how modern software is designed, built, deployed, and monitored.

Your work won’t be a demo project—it will ship to production.

What We’re Looking For?

We’re looking for people who enjoy solving problems more than collecting technologies on their résumé.

You’ll likely succeed if you:

● Are pursuing or have recently completed a Bachelor’s or Master’s degree in Computer Science or a related field.

● Have strong programming fundamentals and problem-solving skills.

● Understand data structures, algorithms, and object-oriented programming.

● Are comfortable with at least one programming language such as JavaScript, TypeScript, Python, Java, or Go.

● Understand the basics of databases, REST APIs, and Git.

● Learn quickly and enjoy exploring unfamiliar technologies.

● Communicate clearly and work well in a collaborative environment.

Bonus Points:

Experience with any of these is helpful but not required:

● Node.js, FastAPI, Spring Boot, or Django

● React and modern frontend development

● SQL and NoSQL databases

● AWS, GCP, or Azure

● Docker, Kubernetes, or CI/CD

● AI, LLMs, or workflow automation

Don’t worry if you haven’t worked with everything on this list. We care more about your ability to learn than your current toolkit.

What You’ll Learn?

During your internship, you’ll gain practical experience with:

● Building production software

● Backend engineering and API design

● Modern web application development

● Cloud infrastructure

● Distributed systems and asynchronous workflows

● Software testing and debugging

● Git-based development workflows

● Code reviews and engineering collaboration

You’ll also learn how engineering teams operate inside a fast-moving startup—from

turning ideas into products to shipping features used by customers.

Why Join AbleCredit?

You’ll join a small, high-ownership engineering team where your contributions matter from day one.

You’ll have the opportunity to:

● Build software used by real enterprise customers.

● Receive mentorship from experienced engineers.

● Learn modern engineering practices and tools.

● Work across the backend, frontend, and cloud stack.

● Take ownership of meaningful features instead of isolated tasks.

● Convert your internship into a full-time engineering role based on your

performance and available opportunities.

We Think You’ll Enjoy This Role If...

● You build side projects because you enjoy learning.

● You like understanding how systems work—not just using them.

● You’re excited to write code that reaches production.

● You ask questions, experiment, and learn quickly.

● You want an internship where you’ll build, not just observe.

Required Qualifications

• 10+ years of experience in data science, marketing analytics, or applied measurement, with 4+ years directly managing and developing data scientists.
• Deep expertise in Marketing Mix Modeling (MMM): methodology, tooling, business integration, and stakeholder communication.
• Strong working knowledge of marketing attribution, incrementality testing, and causal inference methods (geo-testing, diff-in-diff, synthetic controls, uplift modeling).
• Experience with performance forecasting and budget optimization in a marketing context.
• Demonstrated ability to lead a team of data scientists—setting direction, developing careers, and maintaining a high bar for quality and impact.
• Proven ability to manage and influence senior stakeholders across functions and geographies.
• Strong executive communication skills: comfortable presenting complex methodology and business implications to senior marketing and business leaders.
• Deep proficiency in SQL and Python or R; experience operating in production analytics environments.
• Comfort operating in a globally distributed team environment with US-based counterparts.

Nice to Have

• Experience at a high-growth Indian consumer tech company
• Exposure to offline marketing analytics, brand measurement, or upper-funnel attribution.
• Experience scaling and modernizing legacy marketing measurement infrastructure.
• Familiarity with dbt, Databricks, Snowflake, Airflow, or comparable data infrastructure.
• Experience building or managing analytics teams across multiple geographies.

What Sets You Apart

• You build measurement frameworks that marketing leaders actually use to make decisions—not just deliver reports
• You develop high-performing teams, not just high-performing models
• You communicate across the spectrum—from walking an analyst through a causal design to presenting budget implications to a CMO
• You hold a high bar for analytical credibility while being pragmatic about delivery timelines
• You build strong cross-geography partnerships and make distributed teams work effectively
• You stay technically grounded even as your scope grows—you know when to go hands-on and when to step back
• 
  

About the role

You bring experience from organizations where marketing analytics is taken seriously—whether that’s a global technology company, an Indian consumer tech company, a data-driven marketing organization, or a specialist analytics firm. You understand the discipline of marketing science and the craft of building teams that do it well.

Required Qualifications

• 8+ years of hands-on experience in data science, marketing analytics, or applied measurement, Deep expertise in Marketing Mix Modeling (MMM): methodology, tooling, business integration, and stakeholder communication.
• Strong knowledge of marketing attribution, incrementality testing, and causal inference methods (geo-testing, diff-in-diff, synthetic controls, uplift modeling).
• Experience with performance forecasting and budget optimization in a marketing context.
• Proven ability to manage and influence senior stakeholders across functions and geographies.
• Strong executive communication skills: comfortable presenting complex methodology and business implications to senior marketing and business leaders.
• Deep proficiency in SQL and Python or R; experience operating in production analytics environments.
• Comfort operating in a globally distributed team environment with US-based counterparts.

Nice to Have

• Exposure to offline marketing analytics, brand measurement, or upper-funnel attribution.
• Experience scaling and modernizing legacy marketing measurement infrastructure.
• Familiarity with dbt, Databricks, Snowflake, Airflow, or comparable data infrastructure.
• Experience building or managing analytics teams across multiple geographies.
•  

What Sets You Apart

• You build measurement frameworks that marketing leaders actually use to make decisions—not just deliver reports
• You communicate across the spectrum—from walking an analyst through a causal design to presenting budget implications to a CMO
• You hold a high bar for analytical credibility while being pragmatic about delivery timelines
• You build strong cross-geography partnerships 
• You stay technically grounded even as your scope grows—you know when to go hands-on and when to step back

Company Name: WINIT

Location: Hyderabad

Experience: 0–2 Years

Role Overview

We are looking for a talented AI/ML Trainee to build intelligent automation solutions for Legal Process Outsourcing (LPO). The role involves leveraging Python, SQL, AWS, and Generative AI (LangChain, LLMs, RAG) to automate document-heavy workflows such as contract analysis, data extraction, and legal document processing.

Key Responsibilities

• Develop and deploy AI/ML models for legal document processing and automation.
• Build Python-based pipelines for data processing, automation, and model integration.
• Design and optimize SQL queries for efficient data management and reporting.
• Work with AWS services (S3, Lambda, EC2, Bedrock, etc.) for scalable deployments.
• Develop Generative AI solutions using:
• LangChain
• Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)
• Implement document intelligence solutions (classification, summarization, entity extraction).
• Integrate AI models into business applications via APIs.
• Collaborate with cross-functional teams to understand automation needs.
• Ensure model performance, scalability, and data security.

Required Skills

• Strong proficiency in Python 
• Good knowledge of SQL.
• Understanding of machine learning fundamentals.
• Hands-on or conceptual knowledge of:
• LangChain
• LLMs
• RAG architectures
• Familiarity with AWS cloud platform.
• Basic understanding of NLP / text processing.

About WINIT

For more information, please visit: www.winitsoftware.com

Position Title : Software Engineer

Position Type: Full-Time

Department: Research & Development

Reports To: First Level Manager,

Company Background:

Affiliated with US Group companies, CGLIA Solutions LLP is an innovative Software Product Development organization developing highly available, highly secure, cloud-based enterprise software products catering to the needs of leading Research Facilities, University Medical Centers, Hospitals, and Pharmaceutical companies across the globe, ultimately contributing to the development of life-saving medications.

CGLIA is committed to helping software professionals unleash their creativity, build world-class enterprise applications, and accelerate their careers in a collaborative and innovation-driven environment.

Job Summary :

As a Software Engineer (Java), you will be responsible for designing, developing, and maintaining scalable, secure, and high-performance cloud-based enterprise applications. You will work closely with Product Management, Business Analysts, QA, DevOps, and cross-functional engineering teams to deliver innovative software solutions that exceed customer expectations.

The ideal candidate should be a self-starter with excellent analytical and problem-solving skills, strong expertise in Java backend technologies, and a passion for developing high-quality software. This role also provides an opportunity to mentor junior engineers, participate in technical discussions, and contribute to architectural decisions.

Key Responsibilities

• Participate in requirement analysis and collaborate with Product Management to understand functional and non-functional requirements.
• Contribute to technical design discussions and prepare technical design documentation.
• Design, develop, test, and maintain scalable backend applications using Java and Spring Boot.
• Develop and maintain RESTful APIs and Microservices.
• Write clean, reusable, maintainable, and well-documented code following industry best practices.
• Optimize application performance, scalability, reliability, and security.
• Perform unit testing, code reviews, debugging, and production issue resolution.
• Collaborate with QA, DevOps, UI, and Product teams throughout the software development lifecycle.
• Mentor junior engineers and actively contribute to knowledge sharing within the team.
• Stay updated with emerging technologies, frameworks, and software development best practices.
• Participate in technical interviews and hiring activities to support organizational growth.
• Undertake additional responsibilities as required to achieve project and organizational objectives.
• 
  

Qualifications (Education, Experience, Skills & Knowledge)

• Bachelor's degree in Computer Science, Information Technology, or an equivalent discipline.
• 5+ years of hands-on experience in Java application development.
• Strong expertise in Core Java (Java 8/11/17) and Object-Oriented Programming concepts.
• Extensive experience with Spring Boot, Spring MVC, Spring Data JPA, Spring Security, and Hibernate.
• Strong experience designing and developing RESTful APIs and Microservices.
• Experience working with relational databases such as MySQL, PostgreSQL, Oracle, or MS SQL Server.
• Good understanding of Data Structures, Algorithms, Design Patterns, and Multithreading.
• Angular, Bootstrap, Material Design, HTML5, CSS, JavaScript
• Hands-on experience with Git, Maven/Gradle, and Agile/Scrum development methodologies.
• Experience with code quality tools such as SonarQube and static code analysis.
• Exposure to Docker, Kubernetes, CI/CD pipelines, and cloud platforms (AWS, Azure, or GCP) is preferred.
• Knowledge of messaging systems such as Kafka or RabbitMQ is an added advantage.
• Strong analytical, troubleshooting, and debugging skills.
• Excellent written, verbal, and interpersonal communication skills.
• Ability to work independently and collaboratively in a fast-paced product development environment.
• Eagerness to learn and adopt new technologies.

6 days WFO.

Strong Backend Node.js Developer Profile

2

Mandatory (Experience 1) – Must have 6+ years of hands-on Backend Engineering experience using Node.js building production-grade systems for B2C products at meaningful consumer scale

3

Mandatory (Experience 2) – Must be AI-native in their own engineering workflow: already uses LLMs and agentic tooling across the SDLC, from design and code generation through testing and debugging

4

Mandatory (Experience 3) – Must have owned backend architecture end to end, including greenfield builds. Should be able to make early architecture calls and reason clearly about service boundaries, data flow, caching, queueing, failure modes, scalability, and reliability trade-offs under real constraints.

5

Mandatory (Experience 4) – Must have a solid understanding of backend fundamentals, including API development, service-oriented architecture, data structures, algorithms, and clean coding practices

6

Mandatory (Experience 5) – Must have experience designing, building, and maintaining APIs and backend services, including integrations with external systems and third-party platforms

7

Mandatory (Experience 6) – Must have strong experience working with databases (SQL and/or NoSQL), including efficient data modeling, query optimization, and performance tuning

8

Mandatory (Company) – Must have worked in B2C product companies / startups at meaningful consumer scale. (WealthTech, FinTech, or high-growth consumer product background is highly preferred)

9

Mandatory (Stability) – Must have a stable career history, with consistent tenure across previous companies; frequent job-hopping will not be considered

10

Mandatory (AI Product) – Must have experience building and shipping products that use LLMs and agentic workflows to end users.

11

Mandatory (Exclusion) – Candidates currently working at Stable Money will not be considered

12

Mandatory (Note) – Seed-funded WealthTech startup. Candidate must be comfortable in an early-stage, fast-paced environment with shifting priorities

13

Mandatory (Note) – Founding tech team role. Work from office, 6 days a week. Candidate must be willing to own the backend end to end and set engineering standards

14

Preferred (College) – Tier1 engineering college is a plus plus

15

Preferred (Note) – Previous founding engineer or early-team startup experience is a plus.

Job Title: .NET Full-Stack Developer (ASP.NET Core / React.js / Node.js)

Experience: 1 - 3 Years

Location: Borivali, Mumbai (Onsite)

Employment Type: Full-time

About Wama Technology:

Wama Technology is a fast-growing technology solutions provider delivering high-impact web and mobile applications for clients globally. We are looking for an ambitious, tech-savvy .NET Full-Stack Developer with 1 to 3 years of experience to build scalable applications, integrate cutting-edge AI features, and drive product execution from our Borivali office.

Role Overview:

As a .NET Full-Stack Developer, you will be responsible for building, optimizing, and deploying full-stack web applications using ASP.NET Core, React.js, and Node.js. You will work on API integrations, database architectures, and AI feature implementations while maintaining clean code standards and taking ownership of key modules in a fast-paced environment.

Key Responsibilities:

• Design, develop, and maintain robust full-stack web applications using ASP.NET Core, React.js, and Node.js.
• Architect, build, and consume secure, high-performance RESTful APIs and web services.
• Manage database systems including SQL Server, PostgreSQL, and MongoDB, ensuring query performance and data integrity.
• Integrate AI features, AI APIs, and smart automation directly into client applications and internal product workflows.
• Troubleshoot, debug, and resolve technical issues with strong analytical and problem-solving skills.
• Work independently to manage module deliverables on tight deadlines within a collaborative team environment.
• Effectively articulate technical ideas, system designs, and code logic to internal teams and stakeholders.

Required Qualifications & Skills:

• Experience: 1 to 3 years of commercial software development experience in full-stack web applications.
• Backend Core: Strong expertise in ASP.NET Core and Node.js backend development.
• Frontend Core: Hands-on development experience with React.js, JavaScript (ES6+), HTML5, and CSS.
• Databases: Solid command of relational and NoSQL databases (SQL Server, PostgreSQL, or MongoDB).
• API Architecture: Proven ability to design, document, and integrate RESTful APIs.
• Execution: Strong debugging skills, logical reasoning, and a habit of writing clean, maintainable code.
• Communication: Excellent spoken and written English, with superior technical explanation skills and team collaboration ability.

AI Tooling & Technology Adaptability (Critical):

• Hands-on experience working with AI-assisted IDEs and development tools (Cursor, Windsurf, GitHub Copilot, etc.).
• Proven capability to integrate AI APIs (OpenAI, Gemini, or custom LLM endpoints) into modern web solutions.
• Strong interest and active awareness of the latest software development frameworks and emerging technologies.

Location & Work Mode:

• Work Location: Onsite at Borivali, Mumbai.
• Open exclusively to candidates currently located in Mumbai or able to commute daily to Borivali (No relocation assistance provided).
• Immediate joiners or short notice periods preferred.

Job description

Position : Dot Net Developer

Technology: ASP.NET, C#, .NET, MS-SQL, MVC, .NET CORE 3.0, ANGULAR 8, ANGULAR 4 JS

Experience Required: 2- 5 years

Job Overview: The project work undertaken will be the development and unit testing of straightforward or low-complexity components. The main responsibility is to follow low-level designs, supported by colleagues and team leaders. May assist in any other aspect of the project life-cycle under supervision.

Responsibilities:-

• Design, develop, and configure software modules, interfaces and components
• Programming ASP. Net MVC using C#,Dot net Core,Web API,Entity
• Framework, HTML 5, Java Script, J Query, CSS, Bootstrap
• Participate in requirements analysis
• Collaborate with internal teams to produce software design and architecture
• Write clean, scalable code using .NET programming languages
• Test and deploy applications and systems
• Revise, update, refactor and debug code
• Improve existing software
• Develop documentation throughout the software development life cycle (SDLC)
• Serve as an expert on applications and provide technical support
• Database: MS SQL Server
• Apply knowledge of technologies, applications, methodologies, processes and
• tools to support the system
• Ability to work as a team member
• Ability to work creatively and analytically in a problem-solving environment
• Good command of English communication (written and oral) and interpersonal
• skills Interact with various stakeholders to finalize the design and interfaces.

Qualifications -

• Bachelors/Masters degree in computer science or engineering with a focus on language processing.
• At least 2- 4 years of experience in coding using .NET languages (C+, VB, .NET).
• Familiarity with the ASP.NET framework, SQL Server and design/architectural patterns (e.g. Model-View-Controller (MVC).
• Knowledge of at least one of the .NET languages (e.g. C#, Dot net Core) and HTML5/CSS3.
• Familiarity with architecture styles/API s (REST, RPC).
• Understanding of Agile methodologies.
• Excellent troubleshooting and communication skills.
• Proficiency in using MVC.
• A strong foundation in SSRS/SSIS.
• Producing code using .NET languages (C#).
• Upgrading, configuring and debugging existing systems.
• Providing technical support for web, desktop or mobile applications.

Job Title : Data Platform Engineer (SDE 2 / SDE 3)

Experience : 3 to 8 Years (SDE2 : 3 to 5 Years | SDE3 : 5.5 to 8 Years)

Location : Remote (Contract) → Pune (Post Conversion)

Employment Type : Contract-to-Hire (3 Months)

Mandatory Skills :

Java / Python / Go, SQL, Data Engineering, ETL / ELT, Apache Airflow, Apache Spark / Flink, Kafka, AWS/GCP/Azure, Distributed Systems, API Development, Docker, Kubernetes, CI/CD, System Design

Role Overview :

We are looking for a Data Platform Engineer with strong backend engineering expertise to build scalable, high-performance data platforms and distributed systems. The ideal candidate should have hands-on experience in developing production-grade backend applications along with designing and maintaining modern data pipelines.

Key Responsibilities :

• Build and maintain scalable ETL/ELT and data processing pipelines.
• Develop backend services and APIs using Java (preferred), Python, or Go.
• Design batch and real-time data pipelines using Spark, Flink, Kafka, and Airflow.
• Optimize SQL queries, data models, and distributed data systems.
• Work with cloud platforms (AWS, GCP, or Azure) and container technologies (Docker, Kubernetes).
• Implement CI/CD, monitoring, logging, and performance optimization.
• Collaborate with product and engineering teams on scalable system design and architecture.

Required Qualifications :

• SDE 2 : 3 to 5 years of Backend + Data Engineering experience.
• SDE 3 : 5.5 to 8 years of Backend + Data Engineering experience.
• Strong coding skills in Java (preferred), Python, or Go.
• Excellent SQL and data modeling knowledge.
• Hands-on experience with Airflow, Apache Spark / Apache Flink, or similar technologies.
• Experience building scalable backend services and APIs.
• Good understanding of distributed systems, system design. and scalable architecture.
• Experience with cloud platforms (AWS, Azure, or GCP).
• Hands-on experience with Docker and Kubernetes.
• Strong understanding of CI/CD pipelines.
• Excellent problem-solving and debugging skills.

Good to Have :

• Experience with Snowflake, BigQuery, or Redshift.
• Understanding of Kafka, Kinesis, or Pub/Sub
• Performance optimization of large-scale distributed systems
• FinTech or high-scale distributed systems experience.
• Knowledge of data governance, security, and compliance.

Preferred Candidate Profile :

• Strong Backend + Data Engineering experience
• Experience building scalable production systems
• Strong ownership mindset
• Good system design knowledge
• Experience processing millions of events using Kafka/Spark
• Built APIs supporting data infrastructure
• Production engineering experience

Interview Process :

1. Take-home Coding Assignment (48 Hours)
2. Leadership & Strategy Round (1 Hour)
3. Technical Depth – Data Engineering & Performance (1 Hour)
4. Culture & Values Fit (30 Minutes)

Company Description

We are seeking a QA Engineer to join our engineering team and support the validation of AI-assisted software testing. In this role, you will work closely with senior engineers to evaluate AI-generated test scenarios, validate outcomes, identify inconsistencies, and provide structured feedback that improves product quality and AI model performance.

This is an excellent opportunity for professionals who are detail-oriented, analytical, and interested in working at the intersection of Quality Assurance and Artificial Intelligence.

Job Description

• Execute AI-generated test scenarios against historical job packages and validate expected outcomes.
• Perform manual verification of AI-generated results to determine whether test scenarios have passed or failed.
• Review AI-generated evidence and identify false positives, false negatives, inconsistencies, or missing validations.
• Document defects, observations, and actionable feedback for engineering and product development teams.
• Collaborate with senior QA engineers and software developers to improve product quality and AI testing capabilities.
• Re-test resolved issues and verify fixes as new builds become available.
• Maintain detailed testing documentation and ensure traceability of validation results.
• Participate in QA reviews and continuously contribute to improving AI-assisted testing processes.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline.
• 5–8 years of experience in Software Quality Assurance, Manual Testing, or QA Analysis.
• Strong attention to detail with excellent analytical and problem-solving skills.
• Ability to interpret test results and identify discrepancies.
• Experience documenting defects and working with engineering teams to resolve issues.
• Good written and verbal communication skills.
• Familiarity with software testing methodologies and defect lifecycle management.
• Exposure to Agile development environments is preferred.
• Experience with AI-assisted testing or automation tools is an added advantage but not mandatory.

Roles and Responsibilities: 

You’ll work closely with Goalkeep’s internal team and support client projects as needed. Your responsibilities will include: 

A. Infrastructure Maintenance & Optimization 

● Design and review data pipeline diagrams for both client and internal projects

● Build data pipelines by writing clean, efficient SQL queries for data analysis and quality checks 

● Monitor data pipeline performance and infrastructure costs, proactively resolving issues and identifying opportunities to improve reliability, efficiency, and cost-effectiveness.

● Maintain and upgrade Goalkeep’s internal tech infrastructure 

B. Tech Leadership & Team Enablement 

● Provide technical guidance, troubleshooting support, and coaching to strengthen data analysts’ skills so that they can successfully deliver on client projects 

● Create technical documentation, troubleshooting guides and reusable resources that improve team efficiency. 

● Foster a culture of curiosity, continuous learning and knowledge sharing across the team. 

C. AI-Enabled Data Engineering & Innovation 

● Explore and leverage AI tools to improve the efficiency, reliability and scalability of Goalkeep's data engineering workflows. 

● Identify opportunities to automate repetitive engineering and data quality tasks using AI-assisted approaches. 

● Work with internal teams to embed AI into engineering workflows while ensuring reliability, transparency and maintainability.

What we’re looking for:

Hard Skills 

● Data modeling and database management (PostgreSQL, MySQL, or SQL Server)

● Data engineering: writing efficient SQL, designing pipelines 

● Installing and maintaining software on Linux systems 

● Familiarity with cloud-based platforms (AWS / GCP / Azure) is a must

Soft Skills & Mindsets 

● Ability to coach others through patient communication & technical guidance.

● Curiosity and accountability when investigating system issues 

● Strong problem-solving ability with a structured and analytical approach. Preferred Qualifications: 

● Engineering degree with a minimum 4 years of experience working as a data scientist / data analyst/ data engineer 

● Bachelor's degree in any STEM field 

● Past experience in SQL (any dialect) 

● Knowledge of software engineering best practices and version control (Git)

What’s in it for you? 

1. The chance to work at the intersection of social impact and technology.

2. Shape how AI is responsibly applied to solve real-world data challenges for nonprofits.

3. Mentor and grow a technically strong team while influencing Goalkeep's engineering practices. 

4. Be part of a close-knit team passionate about using data for good.

Compensation Range: 

INR 9.0 lac – Rs. 12.0 lac per annum 

Apply here: 

https://forms.gle/eh2RDgtpWHv4f8mE6