2,097 SQL Jobs in India

🚀 Hiring: Senior GCP Data Engineer

We are looking for experienced Senior Data Engineers with strong hands-on expertise in Google Cloud Platform (GCP), Python, PySpark, and SQL. Candidates with team lead experience will be preferred.

📌 Job Details:

• Role: Senior GCP Data Engineer
• Experience: 8+ Years
• Budget: Up to ₹30 LPA
• Location: Bangalore / Hyderabad
• Relocation: Candidates from Chennai and Pune willing to relocate are welcome.
• Notice Period: Immediate to 15 days
• Interview Process: L1 – Virtual | L2 / DM – Face-to-Face (F2F)

💻 Required Technical Skills:

• Strong hands-on experience with GCP data engineering.
• Excellent proficiency in Python, PySpark, and SQL.
• Experience in designing, developing, and optimizing data pipelines.
• Good understanding of ETL/ELT processes and large-scale data processing.
• Experience working with cloud-based data platforms and data warehousing.
• Strong analytical, problem-solving, and communication skills.

⭐ Preferred Skills:

• Previous experience as a Technical Lead or leading a data engineering team.
• Knowledge of GCP services such as BigQuery, Dataproc, Dataflow, and Cloud Storage.

Junior PHP/Laravel Developer – Education ERP

Experience: 1.5–3 Years

Employment Type: Full-Time

Location: Remote

We are looking for a Junior PHP/Laravel Developer with hands-on experience in Core PHP, Laravel, and MySQL. The candidate will work on Education ERP/EdTech applications, developing new features, fixing bugs, handling databases, and supporting existing applications.

Key Responsibilities

• Develop and maintain web applications using Core PHP and Laravel.
• Write and optimize MySQL/SQL queries and perform database operations.
• Develop and maintain ERP/EdTech modules and features.
• Create and integrate REST APIs and third-party services.
• Debug and resolve application issues and bugs.
• Understand existing codebases, database structures, and data flow.
• Follow coding standards, Git practices, and development best practices.
• Coordinate with senior developers to complete assigned tasks on time.

Required Skills

• Core PHP & Laravel
• MySQL / SQL
• Database relationships, joins, CRUD, and query optimization
• HTML, CSS, JavaScript & jQuery
• REST APIs and API integration
• Basic Git/version control
• Good debugging and problem-solving skills
• Ability to understand and work with an existing codebase

Preferred Experience

Experience with any of the following will be an advantage:

• Education ERP / EdTech
• LMS / School / College Management Systems
• Admission & Student Management
• Fee Management
• Examination Modules
• HRMS
• Finance Modules

Qualifications

B.Tech/B.E. (CS/IT), BCA, MCA, or equivalent qualification with relevant development experience.

What We Offer

• Remote Work
• Opportunity to work on Education ERP products
• Learning and professional growth opportunities
• Exposure to real-world enterprise applications
• Supportive development environment

Role overview:

·         Technology Expertise & DBA Skill Set

·         Cloud Platforms: AWS, Azure

·         Database IaaS: Oracle, Microsoft SQL Server, PostgreSQL

·         Database PaaS: CosmosDB, MySQL, SQL Managed Instance, RDS Aurora, MongoDB

·         Infrastructure as Code: Terraform, Ansible

·         CI/CD & Automation: GitHub Actions, GitLab, Azure DevOps

·         Programming & Scripting: Python, Bash/Shell, PowerShell

·         Operating Systems: Linux/Unix (RHEL, Ubuntu), Window

Database Team Overview

Our Database Team is the foundation of enterprise-grade databases delivering secure, compliant and high-performing database platforms across Azure and AWS. We provide managed services for Oracle and Microsoft SQL Server, operating in a system DBA role to ensure platform reliability, resilience, and operational excellence. In addition, we support PaaS and RDS database services by acting as the platform team defining policies, enforcing security standards, and managing networking configurations while enabling self-service capabilities for application teams to consume these services efficiently.

What would you do here:

·         Database Security & Compliance: Implement robust security controls, encryption, and auditing to safeguard sensitive data and meet regulatory requirements.

·         Lifecycle Management: Oversee patching, upgrades, and end-of-life transitions to maintain platform stability and minimize risk.

·   Performance Optimization: Monitor and tune databases for optimal performance across diverse workloads.

·         Automation & Operational Excellence: Design and deploy automation for provisioning, monitoring, and maintenance to achieve “brilliant basics” and reduce manual intervention.

·         Business-Critical Certification: Validate and certify database environments to support mission-critical applications with high availability and disaster recovery strategies.

·         Incident & Problem Management: Provide rapid response and  root-cause analysis for database-related incidents to ensure business continuity.

·         Capacity Planning & Scalability: Forecast growth and optimize resources to support evolving business needs.

Best Regards!

Job Summary

We are looking for an experienced Application Support Engineer (L2) with expertise in supporting banking applications, monitoring production systems, troubleshooting incidents, and ensuring application availability and stability. The candidate should have strong SQL skills, knowledge of ITIL processes, experience with shell scripting, Grafana dashboards, Control-M job scheduling, and automation of routine support activities.

Key Responsibilities

• Provide L2 production support for critical banking applications and ensure high availability and performance.
• Monitor application health, system performance, logs, and alerts using Grafana and observability tools.
• Troubleshoot production incidents, perform root cause analysis (RCA), and implement permanent fixes.
• Write and execute SQL queries to investigate application issues, validate transactions, and perform data analysis.
• Monitor, manage, and troubleshoot batch jobs and workflows using Control-M.
• Perform log analysis and execute shell scripts for system checks, troubleshooting, and routine operational activities.
• Follow ITIL processes, including Incident Management, Problem Management, Change Management, and Service Request Management.
• Automate repetitive operational tasks using shell scripting and other automation techniques.
• Collaborate with development, infrastructure, database, and business teams to resolve production issues within agreed SLAs.
• Participate in incident bridges, provide timely updates to stakeholders, and prepare incident reports.
• Support application deployments, release activities, and post-deployment validation.
• Maintain support documentation, knowledge articles, SOPs, and operational runbooks.
• Ensure compliance with banking security policies, audit requirements, and operational procedures.

Required Technical Skills

• Application Support: Hands-on experience in L2 production support, incident troubleshooting, and application monitoring.
• SQL: Strong SQL query-writing skills, joins, subqueries, data validation, and troubleshooting database-related issues.
• Observability: Knowledge of application monitoring, log analysis, metrics, alerts, and performance troubleshooting.
• Grafana: Experience monitoring dashboards, analyzing metrics, identifying anomalies, and troubleshooting alerts.
• Control-M: Experience monitoring batch jobs, handling job failures, managing dependencies, and rerunning failed jobs.
• Shell Scripting: Basic to intermediate scripting for log analysis, health checks, file processing, and task automation.
• ITIL: Understanding of Incident, Problem, Change, and Service Request Management processes.
• Automation: Ability to automate repetitive support tasks and improve operational efficiency.
• Banking Domain: Understanding of banking applications, transaction processing, batch processing, and business-critical production operations.

Preferred Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Experience supporting business-critical applications in a banking or financial services environment.
• Knowledge of Linux/Unix operating systems and application/server logs.
• Familiarity with SLA management, production support rotations, and on-call support.
• Strong analytical, troubleshooting, communication, and stakeholder-management skills.

Key Competencies

• Incident prioritization and effective problem-solving.
• Root cause analysis and preventive action implementation.
• Production stability and service improvement.
• Coordination with cross-functional technical teams.
• Ability to work in a 24/7 support environment when required.

Overall Objective: Ensure stable and reliable banking application operations by proactively monitoring systems, resolving production incidents, automating routine activities, and meeting defined service-level agreements (SLAs).

AI Architect – Enterprise AI & Generative AI ( Remote) - Contractual

Experience: 8+ years

Location: Remote, India

Employment Type: Contractual

Working Hours: 3:00 PM – 12:00 AM IST

Client Engagement: US-based client

About the Role

We are looking for a hands-on, client-facing AI Architect to lead the architecture, technical direction, and production implementation of enterprise AI and Generative AI solutions for a US-based client.

You should combine strong software engineering and cloud architecture fundamentals with practical experience building secure, scalable, and reliable AI applications. This role involves end-to-end technical ownership, from solution design and prototyping to production deployment and optimization. It is not a research-only, advisory-only, or prompt-writing position.

Key Responsibilities

• Lead end-to-end architecture and delivery of AI/ML and Generative AI solutions, from discovery and proof of concept to production rollout.
• Design LLM-powered applications using Retrieval-Augmented Generation (RAG), embeddings, vector databases, AI agents, and orchestration frameworks.
• Define data ingestion, chunking, retrieval, grounding, evaluation, and knowledge-refresh strategies.
• Select appropriate AI models and platforms based on quality, latency, cost, security, and operational requirements.
• Design cloud-native architectures, APIs, integrations, identity controls, monitoring, and resilient deployment patterns.
• Create architecture diagrams, technical designs, implementation roadmaps, and technical standards.
• Implement AI quality and safety measures, including hallucination mitigation, guardrails, access controls, and prompt-injection defenses.
• Guide engineering, data, ML, and DevOps teams through implementation, code reviews, troubleshooting, and go-live readiness.
• Lead technical discussions and design reviews with US client stakeholders.
• Establish production monitoring, CI/CD, versioning, incident handling, and performance and cost optimization practices.

Required Skills & Qualifications

• 8+ years of relevant experience in software engineering, AI/ML engineering, data engineering, or technology architecture.
• Proven experience personally architecting and deploying at least one enterprise-grade AI or Generative AI solution into production.
• Strong practical knowledge of LLMs, RAG, embeddings, vector databases, orchestration frameworks, and model evaluation.
• Hands-on experience with Python and APIs, including prototyping, code review, and troubleshooting.
• Experience with at least one major cloud platform: Microsoft Azure, AWS, or Google Cloud Platform (GCP).
• Understanding of data pipelines, SQL/NoSQL databases, containers, CI/CD, MLOps, and LLMOps.
• Knowledge of enterprise security, privacy, identity and access management, and responsible AI practices.
• Experience independently leading architecture workshops, design reviews, and technical discussions with US clients.
• Excellent written and spoken English, documentation, and stakeholder management skills.
• Availability to work from 3:00 PM to 12:00 AM IST and willingness to accept a contractual engagement.

Preferred Experience

• Azure AI Foundry, Azure OpenAI, Amazon Bedrock, or Google Vertex AI.
• Azure AI Search or equivalent retrieval tools.
• LangChain, LangGraph, Semantic Kernel, and agent/tool orchestration.
• Model fine-tuning, predictive ML, document intelligence, multimodal AI, or real-time AI applications.
• Experience in cloud modernization, enterprise integrations, data analytics, or technology consulting.
• Relevant AI/cloud architecture certifications and experience mentoring technical teams.

What Success Looks Like

• Designing secure, scalable, production-ready AI solutions rather than demos or conceptual presentations.
• Making sound technical decisions around feasibility, performance, reliability, cost, and AI risks.
• Taking ownership of architecture decisions and resolving technical blockers with limited supervision.
• Building trust with senior US stakeholders and collaborating effectively with India-based delivery teams.

Contract Details

• Initial engagement: Minimum 3 months, with extension subject to project requirements and performance.
• Working schedule: 3:00 PM – 12:00 AM IST.
• Potential permanent employment: After 18 months, the client may consider direct permanent employment at its sole discretion. Conversion is not guaranteed.

Mandatory Screening Criteria

Candidates should be able to:

• Explain an enterprise AI/GenAI solution they personally architected and deployed, including architecture, scale, evaluation, and business impact.
• Whiteboard an enterprise RAG or agentic solution covering data flow, security, authentication, authorization, monitoring, and cost controls.
• Discuss real-world model-quality issues, hallucinations, privacy risks, incidents, and architectural trade-offs.
• Lead a technical design review with US client stakeholders.
• Confirm acceptance of the working hours and contractual engagement.

Apply only if you have hands-on experience architecting and deploying enterprise AI/GenAI solutions in production.

Job Description: Informatica IDMC & Snowflake Developer

Experience: 6+ Years

Required Skills: Informatica IDMC, ETL, Data Warehousing, Snowflake, SQL

Contract Duration: 2 months

Required Technical Skills

• Informatica: Strong hands-on experience with Informatica IDMC, Cloud Data Integration (CDI), Cloud Application Integration (CAI), Mass Ingestion (MI).
• ETL / ELT: Strong understanding of ETL architecture, data integration patterns, incremental loading, and error-handling strategies.
• Data Warehousing: Good understanding of dimensional modelling, data marts, fact and dimension tables, and data warehouse design principles.
• Snowflake: Hands-on experience with Snowflake architecture, SQL, data loading, transformations, performance tuning, and warehouse optimization.
• SQL: Strong proficiency in complex SQL queries, analytical functions, views, stored procedures, and query optimization.
• Database Development: Experience creating and maintaining database objects, validating data, reconciling datasets, and troubleshooting performance issues.

Candidate Profile

• 6+ years of hands-on experience in ETL/ELT development and data integration along with IDMC, Snowflake, Data Warehousing and SQL.
• Strong analytical, problem-solving, and communication skills.
• Ability to work independently, manage priorities, and collaborate effectively with cross-functional teams.
• Proven ability to deliver high-quality, scalable, and maintainable data solutions in an Agile Environment.

Job Title: GCP Data Engineer

Experience: 6–8 years

Location : Bangalore

What are they looking for?

They need a Google Cloud Platform (GCP) Data Engineer who can build and maintain data pipelines, process large volumes of data, and manage data storage using Google Cloud services.

The candidate should have hands-on experience with batch and real-time data processing, ETL workflows, and cloud data warehousing.

Mandatory / Core Skills

• Google Cloud Platform (GCP)
• Google Cloud Dataflow
• Pub/Sub
• Apache Beam
• BigQuery
• Cloud Storage / Bigtable
• Cloud Composer (Apache Airflow)
• ETL / data pipeline development
• Apache Spark / Hadoop using Dataproc

Supporting Skills

• Cloud Data Fusion
• NoSQL databases
• Data quality and governance
• Data security, access controls, and encryption
• Batch and real-time streaming
• Preparing datasets for BI, analytics, and machine learning

Title                                : Marketing Analytics Specialist

Experience                   : 5 to 8 yrs

Location                       : Anywhere in India – Preferred Chennai

Type of Hire                  : PwD/Non PwD

Work type                      : Remote

Employment Type      : Full Time

Notice Period               : Immediate

Workday                        : Mon to Fri

Role Overview

We are looking for an experienced Marketing Analytics Specialist to derive actionable commercial insights from Reckitt’s cross-channel e-commerce sales data. The role involves integrating data from multiple, inconsistently structured sources, developing scalable data pipelines and data models, creating business intelligence dashboards, and analyzing the impact of media platform spending on sales performance across various retailer platforms.

Key Responsibilities

• Commercial Analytics: Analyze cross-channel e-commerce sales data to identify trends, performance drivers, and actionable commercial insights.
• Business Requirements: Collaborate with business stakeholders to understand reporting requirements and translate them into analytical solutions.
• Data Architecture: Design and implement efficient data storage, retrieval, and processing architectures.
• ETL Development: Build and maintain robust, scalable ETL pipelines to integrate data from multiple source systems into data warehouses or other storage solutions.
• Data Modelling: Develop and maintain data models aligned with business reporting and analytical requirements.
• Data Quality: Implement data quality checks, validation, and reconciliation processes to ensure data accuracy, completeness, and consistency.
• BI Dashboards & Reporting: Design and develop interactive dashboards and reports that communicate business performance and insights effectively.
• Media Spend Analysis: Analyze the impact of media platform spending on sales performance across multiple retailer platforms and identify opportunities to improve marketing effectiveness.
• End-User Training: Provide training, documentation, and ongoing support to enable business users to use BI tools effectively.

Required Skills

• 5+ years of experience in Marketing Analytics, Data Analytics, Business Intelligence, or a related field.
• Prior hands-on experience in Marketing Analytics, with full proficiency in Claude AI
• Strong SQL skills for data extraction, transformation, and analysis.
• Hands-on experience with ETL/ELT pipelines and data integration from multiple sources.
• Experience with data warehousing concepts and data modeling.
• Proficiency in Power BI, Tableau, or other BI visualization tools.
• Experience analyzing e-commerce sales, marketing performance, media spending, or retailer data.
• Knowledge of data quality, data validation, and reconciliation techniques.
• Strong analytical, problem-solving, and stakeholder communication skills.

Good to Have

• Experience in FMCG, retail, consumer goods, or e-commerce analytics.
• Understanding of digital marketing metrics such as ROI, ROAS, and campaign performance.
• Exposure to marketing attribution or Marketing Mix Modeling (MMM).
• Experience with cloud data warehouses such as Snowflake, BigQuery, Redshift, or Azure Synapse.
• Knowledge of Python or data transformation tools such as dbt.

We are seeking a skilled SQL Developer to join our team. This role serves as a key bridge between insurance operations and technical solutions, ensuring business requirements are accurately translated into efficient system functionality. The SQL Developer will play a critical part in maintaining and enhancing underwriting software products and system integrations—helping deliver reliable, high-quality solutions to clients in the insurtech space.

The ideal candidate possesses strong SQL expertise, advanced data mapping capabilities, and hands-on experience working with APIs, JSON, XML, and other data exchange formats. Experience with insurance technology platforms, such as ConceptOne or similar underwriting systems, is preferred. In this role, you will regularly develop, maintain, and troubleshoot stored procedures and functions, perform data validation, support integration efforts across multiple systems, and configure insurance workflows. You will work closely with business analysts, underwriters, and technical teams to ensure smooth product updates and continuous improvement of system functionality.

What We’re Looking For:

• 5+ years of experience in a technical, insurance, or insurtech-focused role
• Strong proficiency in writing SQL, including complex queries, stored procedures, and performance tuning
• Expertise in data mapping, data validation, and reporting
• Experience working with APIs, JSON, XML, and system-to-system integrations
• Strong analytical and problem-solving skills with the ability to troubleshoot and optimize complex workflows
• Clear and effective communication skills, able to translate technical concepts for non-technical stakeholders
• Ability to work independently and manage multiple tasks in a fast-paced environment
• Keen attention to detail and commitment to delivering accurate, high-quality results
• 
  

Bonus:

• Hands-on experience with underwriting or policy administration systems (e.g., ConceptOne or similar platforms)
• Familiarity with core insurance processes, such as policy issuance, endorsements, raters, claims, and reporting
• Experience with the U.S. P&C (Property & Casualty) insurance

What You’ll Be Doing:

• Develop and optimize SQL stored procedures, functions, and triggers to support underwriting and compliance requirements
• Create and maintain reports, quote covers, and validations or map and configure forms, raters, and system workflows to ensure accurate data processes
• Set up, troubleshoot, and optimize underwriting platforms (ConceptOne/others) for performance and accuracy
• Manage integrations with APIs, JSON, and XML to connect external services and streamline data exchange
• Collaborate with BAs, QAs, and Developers to translate requirements, test outputs, and resolve issues
• Provide technical support and training to internal teams and clients to ensure effective system usage

We’re looking for a dynamic and driven Data Analyst to join our team of technology enthusiasts. This role is crucial in transforming data into insights that support strategic decision-making and innovation within the insurance technology (InsurTech) space. If you’re passionate about working with data, understanding systems, and delivering value through analytics, we’d love to hear from you.

What We’re Looking For

• Proven experience working as a Data Analyst or in a similar analytical role
• 5+ Years of experience in the field
• Strong command of SQL for querying and manipulating relational databases
• Experience with Power BI for building impactful dashboards and reports
• Familiarity with QlikView and Qlik Sense is a plus
• Ability to communicate findings clearly to technical and non-technical stakeholders
• Knowledge of Python or R for data manipulation is nice to have
• Bachelor’s degree in Computer Science, Statistics, Mathematics, Economics, or a related field
• Understanding of the insurance industry or InsurTech is a strong advantage

What You’ll Be Doing:

• Delivering timely and insightful reports to support strategic decision-making
• Working extensively with Policy Administration System (PAS) data to uncover patterns and trends
• Ensuring data accuracy and consistency across reports and systems
• Collaborating with clients, underwriters, and brokers to translate business needs into data solutions
• Organizing and structuring datasets, contributing to data engineering workflows and pipelines
• Producing analytics to support business development and market strategy

GCP Data Engineer

Job Description

Experience: 4-10 Years Location: Bangalore, India Employment:

Role Overview

We are seeking a GCP Data Engineer to design, build and maintain data systems on Google Cloud Platform. The role focuses on building pipelines with BigQuery, Dataflow and Pub/Sub, managing cloud storage, and enabling real-time data processing for fast, reliable analytics.

Key Responsibilities

• Design, develop and maintain scalable batch and real-time data pipelines on GCP.

• Build ETL/ELT pipelines with rollback strategies, bad-record handling and performance optimization.

• Design end-to-end data integration flows across systems.

• Design scalable fact/dimension schemas in cloud data warehouses.

• Handle structured, semi-structured and unstructured data at scale.

• Implement data quality checks, security and compliance policies; protect sensitive information.

• Optimize data systems by identifying bottlenecks, tuning queries and adopting new technologies.

• Collaborate with data scientists, analysts and business stakeholders to deliver tailored data solutions.

Technical Skills

• GCP Services: Cloud Run functions, Cloud Scheduler, Workflows, Pub/Sub, GCS, Dataflow, BigQuery, Cloud Build.

• Programming: Strong SQL / PL-SQL, Python and object-oriented languages (Java, Python); API development.

• CI/CD: Deployment using GitHub Actions and Jenkins.

• Data Modelling: Top-down and bottom-up database design, data masking, normalization, denormalization, dimensional modeling.

• Big Data & Streaming: Streaming architectures, NoSQL stores and key-value databases under high concurrency and volume.

Qualifications

• Bachelor's degree in Computer Science, IT, Engineering or a related field.

• 4-10 years of data engineering experience with hands-on GCP delivery.

• Strong problem-solving, communication and stakeholder management skills.

• GCP Professional Data Engineer certification preferred.

Sourcing Preference

• Priority 1: Internal profiles (TCSers).

• Priority 2: If no suitable internal profile is identified, external candidates available for immediate joining.

Desirable Skills:

Keyword:

Skills: Digital : Python~Digital : NOSQL~Digital : Google Cloud

Experience Required: 6-8

Job Summary

We are looking for an experienced Python Developer for the position of Delivery Module Lead. The ideal candidate should have strong hands-on experience in Python programming, front-end technologies, and back-end development. The candidate will be responsible for developing scalable web applications, integrating APIs, and collaborating with cross-functional teams to deliver high-quality software solutions.

Key Responsibilities

• Design, develop, and maintain scalable web applications using Python and front-end technologies.
• Collaborate with product managers, designers, and developers to understand business requirements and implement solutions.
• Develop responsive user interfaces and optimize application performance across different browsers and devices.
• Write clean, reusable, and maintainable code following development best practices.
• Conduct code reviews and ensure code quality and standards.
• Debug, troubleshoot, and resolve application issues.
• Develop and integrate RESTful APIs and web services.
• Participate in Agile development activities, including sprint planning, daily stand-ups, and retrospectives.
• Continuously improve development processes and stay updated with emerging technologies.

Mandatory Skills

• Strong proficiency in Python programming.
• Hands-on experience with HTML, CSS, and JavaScript.
• Experience with front-end frameworks such as React, Angular, or Vue.js.
• Experience with back-end frameworks such as Django or Flask.
• Good understanding of RESTful APIs and web services.
• Experience with Git and version control systems.
• Strong problem-solving and analytical skills.

Preferred Skills

• Knowledge of databases such as PostgreSQL, MySQL, or MongoDB.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Familiarity with Docker and containerization technologies.
• Understanding of CI/CD pipelines and DevOps practices.
• Experience with Agile methodologies and project management tools.

8-12 years experience on Data Engineering role working with Databricks & Azure Cloud technologies.

• Bachelor’s degree in computer science, Information Technology, or related field.

• Strong proficiency in PySpark, Python, SQL.

• Strong experience in data modeling, ETL/ELT pipeline development, and automation • Hands-on experience with performance tuning of data pipelines and workflow

• Proficient in working on Azure cloud components Azure Data Factory, Azure DataBricks, Azure Data Lake etc.

• Experience with data modeling, ETL processes, Delta Lake and data warehousing.

• Experience on Delta Live Tables, Autoloader & Unity Catalog.

Preferred - Knowledge of the insurance industry and its data requirements.

• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.

• Excellent communication and problem-solving skills to work effectively with diverse teams

• Excellent problem-solving skills and ability to work under tight deadlines. 

Job Title : Senior Data Engineer – GCP & Apache Spark

Job Details :

• Number of Positions : 3
• Employment Type : Contract-to-Hire (C2H)
• Experience Required : 5 to 8 Years
• Location : Manyata Tech Park, Bengaluru
• Work Mode : Hybrid – 3 Days in Office per Week
• Preferred Notice Period : Immediate to 15–20 Days
• Project Duration : Initially 6–8 months, with a strong possibility of extension for long-term projects
• Relocation : Candidates from outside Bengaluru can apply if they are willing to relocate.

Role Overview :

We are looking for experienced Senior Data Engineers with strong expertise in Google Cloud Platform (GCP), Apache Spark, BigQuery, and SQL to design, develop, and maintain scalable data pipelines and distributed data processing solutions.

The ideal candidate should have hands-on experience with cloud-based data engineering, end-to-end pipeline architecture, system design, performance optimization, debugging, and CI/CD practices.

Mandatory skills :

Apache Spark (PySpark / Scala), SQL, GCP, BigQuery, GCP Dataproc, Data Pipelines, System Design, CI/CD, Debugging & Problem-Solving.

Key Responsibilities :

• Design, develop, and maintain scalable data pipelines using Apache Spark, PySpark, and/or Scala.
• Build and optimize batch and distributed data processing workflows on GCP.
• Work extensively with BigQuery for data transformation, validation, analytics, and query optimization.
• Develop and maintain data workflows using GCP services, including Dataproc, BigQuery, and Cloud Storage.
• Design end-to-end data pipeline architectures with a focus on scalability, reliability, and performance.
• Write and optimize complex SQL queries for large-scale datasets.
• Troubleshoot and resolve data processing issues, pipeline failures, and performance bottlenecks.
• Implement CI/CD practices for data engineering workflows, testing, and deployments.
• Monitor pipeline performance and identify opportunities for continuous improvement.
• Collaborate with cross-functional teams to understand requirements and deliver reliable data solutions.
• Participate in code reviews, testing, production deployments, and production support.

Mandatory Skills :

• Strong hands-on experience with Apache Spark, including PySpark and/or Scala.
• Strong SQL skills and experience working with large-scale datasets.
• Hands-on experience with Google Cloud Platform (GCP).
• Practical experience with BigQuery and data warehousing concepts.
• Working knowledge of GCP Dataproc.
• Strong understanding of data pipelines, end-to-end workflows, and system design.
• Practical experience with CI/CD and deployment processes.
• Excellent debugging, troubleshooting, and problem-solving skills.

Preferred Skills :

• Experience with Apache Airflow, Google Cloud Composer, or similar orchestration tools.
• Knowledge of Kafka or other streaming and messaging technologies.
• Proficiency in Python for data engineering and automation.
• Experience with Git-based development workflows.
• Knowledge of Linux/Unix environments and shell scripting.
• Familiarity with monitoring, logging, data quality, and governance practices.

Required Qualifications :

• 5 to 8 years of experience in Data Engineering, Big Data Engineering, or a related field.
• Proven experience developing and maintaining scalable data pipelines.
• Strong understanding of distributed data processing and cloud-based data architecture.
• Ability to troubleshoot complex technical issues and optimize pipeline performance.
• Strong communication, collaboration, and ownership skills.

Interview Process :

Round 1 : AI-Based Interview

• Candidates must complete the AI interview as soon as possible after receiving the invitation.

Round 2 : Virtual Interview Drive

• Interviews are planned for the upcoming drive; exact dates will be communicated separately.

Round 3 : Online Client Interview

• Shortlisted candidates will attend the online interview.
• Candidates must be available throughout the day on the scheduled interview date.

Who We Are

YourDOST is one of India’s leading emotional wellness organisations. We help corporates, colleges, and government institutions build healthier and more resilient communities through counselling, assessments, self-help tools, training, and organisational insights.

Since 2014, we have partnered with 500+ organisations, including CK Birla Group, UpGrad, IIT Madras, IIT Delhi, and IIM Bangalore, and supported over 20 lakh Indians.

Learn more at www.yourdost.com.

About the Role

We are looking for a Product Analyst / Business Analyst who can use data and structured thinking to support product decisions and execution.

You will work closely with Product, Technology, Design, and business teams to analyse product performance, translate requirements into user stories, support releases, and identify opportunities for improvement.

What You Will Do

• Analyse user behaviour, funnels, engagement, retention, and other product metrics.
• Build dashboards and convert data into clear, actionable insights.
• Translate business requirements into user stories, workflows, and acceptance criteria.
• Work with Product, Technology, and Design teams during planning and development.
• Conduct UAT, identify edge cases, and validate releases.
• Measure the impact of product changes and recommend improvements.
• Conduct competitor, market, and customer research.
• Use AI and no-code tools to improve research, analysis, and workflows.

Who Can Apply

• 1–3 years of experience in Product Analysis, Business Analysis, Product Operations, or Data Analysis.
• Strong analytical and problem-solving skills.
• Advanced knowledge of Excel or Google Sheets.
• Working knowledge of SQL and BI tools such as Power BI, Tableau, Looker Studio, or Metabase.
• Familiarity with product analytics tools such as Mixpanel, GA4, or Amplitude.
• Experience creating user stories, acceptance criteria, and conducting UAT.
• Ability to work effectively with Product and Technology teams.
• Strong attention to detail and communication skills.
• Startup experience and an interest in mental health or consumer technology are a plus.

Why Join Us

• Work at the intersection of product, data, and business.
• Directly influence product decisions through analysis and insights.
• Get end-to-end exposure to building, launching, and improving products.
• Work on products that meaningfully impact people’s well-being.

Job Details

Location: HSR Layout, Bengaluru

Employment Type: Full-time

Work Mode: Onsite

Working Days: Five days a week

Mandatory Skills (Must Have)

• SQL and Database Design (5+ years in enterprise data platforms)

• Python development for automation and platform services (5+ years)

• Linux administration and Shell Scripting in production environments

• Metadata-driven systems and data management platform experience

• Technical leadership of offshore or distributed development teams Wissen Technology

• System analysis, troubleshooting, and production support expertise

• Metadata onboarding, integration, and governance processes

• Stakeholder management and delivery ownership across multiple teams

Key Responsibilities

• Lead developers supporting the Pantheon Metadata platform and related services

• Own end-to-end delivery of metadata onboarding and enhancement initiatives

• Design scalable metadata management solutions and automation capabilities

• Collaborate with architecture, infrastructure, and application teams for enterprise integration

• Participate in solution design reviews and establish development best practices

• Prioritize enhancements with business stakeholders and manage delivery commitments

• Provide production support, troubleshooting, and platform stability improvements Wissen Technology

• Drive modernization initiatives related to metadata lifecycle management

🚨 Hiring: Salesforce Developer

Experience: 3–5 Years

Location: Bangalore | Hyderabad | Chennai | Mumbai | Pune | Ahmedabad

Work Mode: Hybrid – 2 Days Work From Office Mandatory

Contract: 6 Months

Notice Period: Immediate Joiners Preferred

Shift: 2 PM – 11 PM IST

Interview: 1 Round In-Person Interview Mandatory

Role Summary

We are looking for a Salesforce Developer with strong hands-on experience on the Salesforce Platform. The ideal candidate should have solid Salesforce fundamentals, be a quick learner, self-driven, and able to contribute independently with minimal supervision.

The role will be responsible for delivering scalable and maintainable Salesforce solutions for the Prism project.

Required Technical Skills

• Strong experience in Salesforce Platform Development

• 2+ years hands-on Salesforce Platform experience

• Lightning Web Components (LWC)

• Apex – Classes, Triggers, Batch Apex, Queueable Apex

• JavaScript

• Java – good understanding of OOP concepts

• Salesforce Data Model

• SOQL / SOSL

• Governor Limits and Performance Optimization

• Salesforce Security – Profiles, Permission Sets, Sharing Rules

• Salesforce Integrations and APIs are a plus

Key Responsibilities

• Design, develop, and enhance Salesforce solutions using LWC and Apex

• Build reusable and scalable components following Salesforce best practices

• Collaborate with functional teams to understand business requirements and translate them into technical solutions

• Perform unit testing, debugging, and code reviews

• Participate actively in Sprint activities and deliver tasks independently

• Quickly learn new Salesforce features, business processes, and platform enhancements

• Identify issues proactively and suggest improvements

• Work independently with minimal supervision

• Troubleshoot technical issues and optimize Salesforce solutions

• Maintain ownership of assigned tasks and deliver within timelines

Required Soft Skills

• Quick learner with a positive and driven attitude

• Strong problem-solving and analytical skills

• Good communication and collaboration skills

• Ability to work independently

• Strong ownership mindset

• Commitment to delivery timelines

Job Summary – Axiom Technical Analyst

🔹 Experience: 5+ Years

🔹 Skill Set: Axiom + SQL + ETL

🔹 Locations: Bangalore / Hyderabad

🔹 Notice Period: Immediate to 15 Days Joiners Preferred

Required Skills:

🔹 Strong hands-on experience in Axiom

🔹 Good knowledge of SQL and database concepts

🔹 Hands-on experience with ETL processes

🔹 Experience in data extraction, transformation, and loading

🔹 Good understanding of data integration and data processing

🔹 Experience in developing, maintaining, and troubleshooting data workflows

🔹 Strong analytical and problem-solving skills

🔹 Good communication and collaboration skills

🔹 Ability to troubleshoot technical issues and support application/data processes

🔹 Understanding of SDLC and Agile methodologies

We are looking for a Software Development Engineer – 1 to join our engineering team. The role involves developing

and maintaining backend and/or full-stack product features using JavaScript / TypeScript and Node.js, building APIs

and integrations, working with databases and asynchronous workflows, debugging production issues, and contributing

to automated testing and engineering quality.

Key Responsibilities

• Develop, test, deploy, and maintain backend and/or full-stack product features using JavaScript / TypeScript and

Node.js.

• Design and implement REST APIs and internal or external system integrations.

• Work with relational and/or NoSQL databases for data modelling, querying, validation, and persistence.

• Build user-facing interfaces using JavaScript / TypeScript frameworks where required.

• Implement automated unit, integration, and API tests and contribute to overall code quality.

• Work with asynchronous jobs, queues, webhooks, and third-party integrations where required.

• Investigate defects and production issues, identify root causes, and implement reliable fixes.

• Use logs, metrics, and debugging tools to identify and resolve application failures.

• Collaborate with product and engineering stakeholders to clarify requirements, edge cases, and implementation

details.

• Use AI-assisted development tools effectively while understanding, reviewing, testing, and taking ownership of

generated code.

Hiring: Mainframe DB2 Developer / SQL Server Developer

Experience: 5+ Years

Role: IT Developer / Development Lead

We are looking for experienced developers with strong expertise in Mainframe technologies and SQL Server to design, develop, maintain, and optimize enterprise applications. The role involves database development, performance tuning, stored procedures, and backend application support within a Wealth Management Technology environment.

Must-Have Skills:

• Mainframe
• COBOL
• DB2
• SQL
• JCL

Key Responsibilities: Develop and maintain Mainframe applications, build and optimize database objects and complex SQL queries, troubleshoot performance issues, collaborate with global teams, and deliver secure, high-quality solutions.

 Significant, hands-on experience with FircoSoft, including deep knowledge of:

   o    Continuity V6

   o    Screening Preparation

   o    Firco Utilities

• Strong development and configuration expertise using:

   o    Java, J2EE, Spring Boot

   o    IBM MQ, Kafka

   o    Shell Scripting

   o    Oracle SQL & PL/SQL

   o    Microservices and messaging technologies

• Proven experience delivering and supporting FircoSoft solutions in large, complex, enterprise environments

• Strong understanding of sanctions screening workflows and data processing at scale

• End-to-end knowledge of the SDLC, including production support and operational resilience

• Practical experience or formal training in Kubernetes and AWS concepts

• Hands-on exposure to CI/CD pipelines (e.g., Jenkins), application resiliency, and security best practices

Java Full Stack Developer

Company: DevCare Solutions Pvt. Ltd.

Location: Urapakkam, Chennai

Job Summary

DevCare Solutions is looking for a skilled Java Full Stack Developer with hands-on experience in developing scalable web applications using Java-based backend technologies and modern frontend frameworks. The ideal candidate should be comfortable working across the complete software development lifecycle.

Key Responsibilities

·        Design, develop, test, and maintain scalable web applications.

·        Develop backend services and RESTful APIs using Java, Spring Boot, and related frameworks.

·        Build responsive user interfaces using Angular or React.

·        Work with relational databases such as MySQL, PostgreSQL, or Oracle.

·        Write clean, reusable, maintainable, and efficient code.

·        Collaborate with cross-functional teams to deliver quality software solutions.

·        Troubleshoot application issues, optimize performance, and participate in code reviews.

·        Use Git and build/deployment tools to manage source code and application releases.

Mandatory Skills

·        Strong proficiency in Core Java and OOP concepts.

·        Hands-on experience with Spring Boot and REST APIs.

·        Experience with Angular or React.

·        Knowledge of HTML, CSS, JavaScript, and TypeScript.

·        Experience with SQL and relational databases.

·        Familiarity with Git, Maven/Gradle, and debugging.

Good to Have

·        Microservices architecture.

·        Hibernate/JPA.

·        AWS, Azure, or other cloud platforms.

·        Docker, Kubernetes, and CI/CD pipelines.

·        Agile/Scrum development experience.

Education

Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.

1st virtual , 2nd round F2F -

Python pyspark, SQL, data engineer

5+yrs

Bang/hyderabad

immediate to 15days.

Job Summary:

The Mobile Software Engineer will design, develop, and evolve mobile applications for Telular’s Fleets IoT platform. Working with a collaborative product and engineering team, you will deliver secure, reliable experiences that help customers perform critical fleet-management activities as part of their daily operations. You will play a key role in shaping the mobile architecture, implementation approach, and development environment, applying deep knowledge of C#, .NET MAUI, REST APIs, service-oriented architecture, and object-oriented programming.

Key responsibilities include:

• Design, architect, implement, test, release, and support secure, reliable mobile applications and their integration with Fleets platform services.

• Own mobile features throughout their lifecycle, from discovery and technical design through development, release, monitoring, support, and continuous improvement across supported iOS and Android devices.

• Develop high-level product specifications with attention to system integration and feasibility.

• Collaborate with product managers, UX designers, backend engineers, quality engineers, and customer-facing teams to translate fleet-management workflows and customer feedback into intuitive, accessible mobile experiences.

• Define mobile architecture, technology choices, development workflows, coding standards, reusable components, and integration patterns that support maintainability, scalability, security, and consistent behavior across platforms.

• Improve delivery speed, application quality, and operational reliability through automated builds, testing, release pipelines, telemetry, and targeted process improvements.

• Communicate architecture decisions, technical trade-offs, coding guidelines, and implementation plans clearly to engineers and cross-functional partners.

• Participate actively in Agile planning, estimation, design reviews, code reviews, retrospectives, and DevOps practices that improve team delivery and product quality.

Qualifications:

• Expertise in software engineering practices (e.g., reading/generating software specs, design patterns, continuous integration)

• Bachelor’s degree in computer engineering or computer science. Master’s degree in computer science preferred.

• 7+ years of hands-on software engineering experience, including responsibility for mobile architecture and technical decisions across the application development lifecycle.

• Demonstrated experience building, signing, testing, releasing, and supporting production-grade mobile applications, including secure coding, authentication, data protection, API integration, performance optimization, and mobile cybersecurity best practices.

• Proven hands-on expertise using iOS TestFlight and/or Closed Testing Tracks for Android.

• Hands-on experience developing cross-platform mobile applications with C# and .NET MAUI, including platform-specific integration and debugging for iOS and Android.

• Experience developing native mobile applications or platform-specific

components using Swift and SwiftUI for iOS and Kotlin and Jetpack Compose for Android, including native SDK integration, platform APIs, application lifecycle management, performance optimization, debugging, and interoperability with cross-platform .NET MAUI code.

• Experience developing and troubleshooting Bluetooth Low Energy (BLE) integrations for iOS and Android, including device discovery, pairing, GATT services and characteristics, permissions, background connectivity, data exchange, connection reliability, and interoperability with connected IoT or telematics devices.

• Practical experience with C#, RESTful APIs, SQL or NoSQL data stores, and ASP.NET Core services that integrate with mobile applications.

• Experience applying object-oriented design, service-oriented architecture, asynchronous programming, dependency injection, and resilient API-integration patterns in production software.

• Experience working in an Agile Scrum environment.

• Demonstrable ability to own and deliver projects and results of increasing technical complexity.

• Excellent communication skills, both written and verbal.

Additional experiences considered highly beneficial:

• Practical application of C#, SQL or NoSQL, ASP.NET MVC / CORE.

• Experience with Git-based workflows, GitOps practices, automated code-quality checks, and AI-assisted development tools such as GitHub Copilot.

• Experience applying AI-assisted development tools to code review, optimization, quality checks, change-impact analysis, unit test generation, debugging, log analysis, and overall productivity improvement.

• Experience with Docker, Kubernetes, and AWS environments that host or support APIs and services consumed by mobile applications.

• Good understanding of Analysis Services (OLAP) and reporting technologies.

• Experience with M2M, IoT, telematics, fleet management, or other connected device platforms.

• Experience using PostgreSQL databases.

Hiring: Technical Project Manager / Risk Business Analyst

Location: Bangalore / Mumbai

Experience: 8–10 Years

Employment Type: Full-Time

Job Description:

We are looking for an experienced Technical Project Manager / Risk Business Analyst to manage the ORS roadmap, backlog prioritization, project delivery, and risk-related business requirements. The role involves collaborating with business, risk, trading, and technology teams, managing dependencies, tracking KPIs, preparing business cases, and presenting updates to senior stakeholders.

Must-Have Skills:

• Project Management
• Risk Management
• Business Analysis
• JIRA / JIRA Cloud
• SQL
• Roadmap Planning

Good-to-Have Skills:

Front-to-Back Risk, FRTB, Stress Testing, ETL Tools, Excel, PowerPoint, Dataiku, Big Data, Data Analytics, and Data Governance.

Immediate Joining

We are looking for a Dedicated Resource on Contract for –

Role: Data Engineer

Experience: 5+ Years

Location: Remote

Duration: 3+ Months

Strong hands-on experience with Snowflake, including writing SQL queries, creating views, stored procedures, and functions.

Good knowledge of AI tools such as Claude.

Experience with ETL tools like Alteryx is good to have.

Power BI experience is good to have.

Strong communication skills.

About the Role

We are hiring a Backend Engineer to build and operate the services that power a leading technology marketplace being relaunched under new ownership.

You will work behind the GraphQL federation, inside the ~40 microservices that own billing, subscriptions, the catalog, RBAC, the proxy's control plane, and the Analytics/Quota services. The runtime is Node.js/TypeScript on AWS EKS, with Aurora MySQL / Postgres and DynamoDB for state, Redis / Elasticache / Couchbase for caching, Kafka (MSK) and Kinesis as the event backbone, and ClickHouse for real-time analytics reads. Every consumer-to-provider call passes through the proxy your services configure, and every dollar of marketplace revenue flows through the commerce code your services own.

Roles and Responsibilities

• · Build and operate services — Design, ship, and run Node.js/TypeScript services that sit behind the GraphQL federation. Own a slice of the ~40-service estate end-to-end: API design, schema, persistence, tests, deployment, on-call.
• GraphQL federation subgraphs — Add types, resolvers, and capabilities to the federated Platform API. Keep subgraph boundaries clean; respect RBAC at the federation enforcement layer.
• Commerce backbone — Build the subscription, invoicing, overage, dispute, and payout flows that integrate with Stripe and PayPal webhooks and the billing state machine. Make sure metering, billing, and payouts stay accurate, auditable, and replayable.
• Proxy control plane — Build the management APIs and background workers that configure the runtime proxy: API keys, plans, rate-limit policies, quota caches, abuse signals.
•  Event-driven systems — Produce and consume Kafka and Kinesis events safely: schema evolution, idempotency, retries, dead-letter handling. Operate Lambda consumers where they're the right tool.
• Data services — Help own the Node.js Analytics Service and Quota Service that front ClickHouse and Snowflake. Keep latency low, queries cheap, and authorisation correct.
• Performance and reliability — Diagnose hot paths, tune queries, add caches where they matter, and remove caches that have become liabilities. Write the SLOs and the alerts that defend them.
•  Security isolation — Implement OAuth2 / JWT / mTLS where they belong; respect least-privilege; design APIs that fail closed.
• On-call and incident response — Take part in the rotation. Lead investigations across services when something rooted in your area breaks.
• LLM-assisted engineering — Use LLM-based coding and agentic tooling to evolve how features are designed, reviewed, and tested.

What Success Looks Like

•    Services you own meet their SLOs, deploy multiple times a day, and rarely wake anyone up.

•    Billing, subscription, overage, and payout flows you ship are accurate to the cent, replayable, and trusted by both providers and consumers.

•    GraphQL subgraphs you maintain stay fast, well-typed, and pleasant to extend.

•    Event pipelines you produce and consume are idempotent, observable, and survive replay and back-pressure.

•    The first generation of agent-native primitives you help build land in production and start carrying real agent traffic.

What You Bring

•    5–8 years of backend engineering experience, with non-trivial work on production services that real customers depended on.

•    Strong TypeScript / Node.js in a production service environment; comfort with async patterns, streams, and back-pressure.

•    Solid API design — REST and GraphQL (ideally federation: Apollo Federation, Mercurius, or similar). Schema design, persisted queries, performance tuning.

•    Production fluency with SQL — MySQL and/or Postgres. Bonus for Redis or ClickHouse.

•    Experience with event-driven systems — Kafka or similar. You understand idempotency, exactly-once myths, and consumer lag.

•    Hands-on AWS (EKS, MSK, Kinesis, DynamoDB, Lambda, DMS) and Kubernetes. Comfortable reading and writing Terraform.

•    Modern engineering practice: observability, feature flags, CI/CD, and safe rollouts.

•    Care for correctness on the money path — you have shipped billing, metering, or payment code before and have the scars to show for it.

•    Bonus: experience with API gateways, rate limiting, quota enforcement, usage metering, agent protocols (MCP, A2A, x402), or LLM-based developer tooling.

•    You write small, reviewable PRs. You add the test before you fix the bug. You would rather ship a smaller thing well than a bigger thing badly.

Node.js Developer

Location: Chennai – Taramani

Experience: 1–5 Years (minimum 2 years of relevant Node.js experience preferred)

Employment Type: Contract

Duration: 6+ Months

Joining: Immediate Joiners Only

Job Summary

We are looking for a Node.js Developer with hands-on experience in developing scalable backend applications, building RESTful APIs, and working with databases and third-party integrations. The ideal candidate should have strong JavaScript skills and knowledge of backend development best practices.

Key Responsibilities

• Design, develop, test, and maintain server-side applications using Node.js.
• Develop RESTful APIs and backend services.
• Integrate third-party APIs and external services.
• Write clean, reusable, and maintainable code.
• Work with databases and optimize queries where required.
• Implement authentication and authorization mechanisms.
• Troubleshoot, debug, and resolve application issues.
• Collaborate with frontend developers, QA engineers, and business teams.
• Participate in code reviews and Agile/Scrum activities.
• Maintain technical documentation.

Required Skills

• Hands-on experience with Node.js.
• Strong knowledge of JavaScript (ES6+) and asynchronous programming.
• Experience with Express.js or NestJS.
• Good understanding of REST APIs.
• Knowledge of authentication mechanisms such as JWT and OAuth.
• Experience with SQL databases such as MySQL or PostgreSQL.
• Familiarity with MongoDB is an advantage.
• Understanding of API security and backend development best practices.
• Experience with Git and version control.

Preferred Skills

• Knowledge of Docker and containerization.
• Exposure to AWS, Azure, or Google Cloud.
• Familiarity with Redis and caching mechanisms.
• Exposure to CI/CD pipelines.
• Understanding of microservices architecture.
• Basic knowledge of frontend technologies such as Angular or React.

Interested candidates can share their updated resumes along with their current CTC, expected CTC, notice period, and availability to join.

Job Description

We are looking for an experienced ETL Developer with strong expertise in ETL development, Hadoop, PySpark, Python, and SQL. The candidate should have hands-on experience in developing data pipelines, processing and transforming large datasets, and working with data warehousing and big data technologies.

Key Responsibilities

• Design, develop, and maintain ETL processes and data pipelines.
• Work with Hadoop and PySpark to process and transform large volumes of data.
• Develop and optimize Python scripts for data processing and automation.
• Write complex SQL queries for data extraction, transformation, and validation.
• Perform data cleansing, integration, transformation, and validation.
• Work with data warehousing concepts and large-scale data processing systems.
• Optimize ETL workflows for performance, scalability, and reliability.
• Troubleshoot data pipeline failures and resolve data quality issues.
• Collaborate with data engineers, analysts, and other technical teams.
• Follow data governance, quality, and development best practices.

Required Skills

• Strong experience in ETL Development – Mandatory
• Hands-on experience with Hadoop – Mandatory
• Strong experience in PySpark – Mandatory
• Good programming skills in Python – Mandatory
• Strong knowledge of SQL – Mandatory
• Experience in Data Processing and Transformation – Mandatory
• Knowledge of Data Warehousing – Mandatory
• Experience with Big Data Technologies – Mandatory

Opportunity Details

Role: ETL Developer – Hadoop & PySpark

Experience: 6–10 Years

Location: Bangalore

Mandatory Skills

ETL Development | Hadoop | PySpark | Python | SQL | Data Processing & Transformation | Data Warehousing | Big Data Technologies

We are seeking talented software developers who are passionate about coding and building & scaling

products. If you love taking on new challenges and have a problem solving mindset to solve problems through

code, you will be a perfect fit for our rockstar engineering team.

Roles and Responsibilities:

● Design and develop backend architectures to support robust, scalable, and secure web applications and

systems with a focus on backend development using Django.

● Design, implement and maintain high quality RESTful APIs to support seamless communication between

frontend, backend and other services.

● Design, implement, and maintain database schemas. Ensure the integrity, performance, and security of

data.

● Ensure the scalability and reliability of our backend infrastructure on AWS. Ensure reliable management of

infrastructure on cloud aiming for 0 downtime of systems.

● Write clean, maintainable, and efficient code, while adhering to best practices and industry standards.

Develop and maintain documentation for our backend systems, APIs, and data models.

● Conduct high quality code reviews and provide feedback to other team members to ensure best practices

are adhered to.

● Take ownership of the development, testing, and deployment of web applications. Break down high-level

business problems into smaller chunks and build systems.

● Work closely with the frontend development team, product managers, and designers to plan new features

and optimize existing ones.

● Constantly aim to improve performance and optimize systems by identifying bottlenecks and resolving

them for increased efficiency.

● Stay up-to-date with the latest technologies such as LLMs, and implement them as and when required

Skills and Qualifications:

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

● 4+ years of experience in full-stack web development, with a focus on backend development.

● Strong proficiency in Python and Django, including experience with Django Rest Framework.

● Experience working with SQL/PostgreSQL databases, including schema design, querying, and

optimization.

● Proficiency in AWS services such as EC2, RDS, S3, and Lambda.

● Familiarity of integrations with third party services and open source frameworks

● Strong understanding of data structures, algorithms, and software design patterns.

● Experience with containerization and orchestration technologies such as Docker and Kubernetes is a plus.

● Familiarity with LLM frameworks such as Langchain, OpenAI, Anthropic, LLaMa is a plus.

● Strong problem-solving skills and ability to work in a fast-paced environment.

● Excellent communication and collaboration skills.

Solid product experience and an educational background from Tier‑1 universities are preferred.

As a Senior AI Engineer, you will play a key role in designing and delivering highly scalable, next generation AI products within our AI stack. You will work in a technically rich environment with talented peers, contributing to product planning, design, and execution while influencing the evolution of Teradata’s AI capabilities. 

In this role, you will: 

• Design, develop, and maintain high quality systems, services, and applications with an emphasis on scalability, reliability, and performance. 
• Collaborate with cross-functional engineers and product partners to shape design and consistently deliver end to end features. 
• Build and integrate robust RESTful APIs, ensuring security, data consistency, and maintainability. 
• Work with SQL and NoSQL databases to implement efficient data models and service access patterns. 
• Apply and experiment with AI/ML technologies, including agentic AI and large language models (LLMs). 
• Use AI powered engineering tools to improve development quality, speed, and productivity. 
• Mentor engineers, supporting them in technical planning, implementation, and best practices. 
• Identify and resolve system performance bottlenecks, optimizing code, design, and infrastructure. 
• Write unit and integration tests and participate in code reviews to uphold engineering excellence. 
• Investigate production issues, ensuring timely and effective solutions. 
• Stay current with emerging trends in engineering, AI/ML, and cloud-native technologies. 

Who You’ll Work With 

You will be part of a high-performing engineering team building core components of Teradata’s AI platform. You will collaborate closely with other engineers, AI/ML specialists, product managers, cloud architects, and partner teams across the company. The role offers opportunities to contribute directly to Teradata’s AI product roadmap and technological direction. 

What Makes You a Qualified Candidate 

(Nonnegotiable qualifications) 

• Bachelor’s degree in Computer Science or equivalent from a recognized institution. 
• 5+ years of experience in backend services, distributed systems, or data platform development. 
• Strong proficiency in Java, Go, or Python for service development. 
• Good understanding of design principles, distributed system patterns, and service framework. 
• Hands-on experience designing and developing RESTful APIs. 
• Experience with SQL and NoSQL databases and data modelling. 
• Strong debugging, problem solving, and troubleshooting skills. 
• Experience with modern containerization and orchestration tools such as Kubernetes. 
• Knowledge of public cloud platforms. 
• Experience with AI productivity tools (e.g., GitHub Copilot). 
• Ability to work independently, drive workstreams, and deliver high quality outcomes. 
• Strong communication and collaboration skills. 

What You’ll Bring 

(Preferred qualifications) 

• Familiarity with messaging systems such as Kafka. 
• Experience experimenting with or implementing AI/ML technologies, Agentic AI, or LLMs. 
• A track record of influencing design decisions and driving engineering best practices. 
• The ability to mentor engineers and guide them through design, planning, and execution. 
• A proactive mindset and comfort working in fast paced, dynamic environments. 
• Curiosity, adaptability, and a passion for building impactful AI-driven products. 

Hiring: Java & Angular Full Stack Developers

Location: Bangalore

Work Model: Hybrid – 3 Days per Week Onsite

Experience: 3–5 Years and 5–7 Years

Key Skills: Java 8+, Spring Boot, Angular, TypeScript, JavaScript, HTML5, CSS3, REST APIs, Microservices, JPA/Hibernate, SQL, JUnit, Mockito, Git and CI/CD.

Role & Responsibilities:

Looking for hands-on Java & Angular Developers with strong backend and frontend development experience to build secure, scalable enterprise applications.

Candidates should have experience in Java, Spring Boot, REST API development, Angular components, services, reactive forms, RxJS, database integration, unit testing, debugging and performance optimization.

Good understanding of microservices, Agile methodologies, code reviews and CI/CD practices is expected.

Good to Have: Docker, Kubernetes, AWS/Azure/GCP, Kafka, NgRx, MCP servers, GitHub Copilot, prompt engineering and AI-assisted development.

Strong problem-solving skills, good communication, hands-on coding expertise and the ability to work collaboratively with cross-functional teams.

Key Responsibilities • Design, develop, and maintain scalable backend applications using Node.js, TypeScript, and Express.js. • Build and maintain microservices-based applications and APIs. • Work with MongoDB and at least one SQL database. • Implement Redis caching to improve application performance and scalability. • Work with AWS cloud services and support cloud-based application deployment. • Apply good understanding of network and infrastructure concepts while developing and troubleshooting applications. • Build and maintain CIICD pipelines for automated build, testing, and deployment. • use Git effectively for source control and collaborative development. • Containerize and deploy applications using Docker. • Write and maintain unit test cases using appropriate testing tools/frameworks. • Troubleshoot performance, scalability, and production issues and implement effective solutions. • Take end-to-end ownership of assigned modules and deliverables. • Work independently with minimal supervision and proactively resolve technical challenges.

Must-Have Skills • Node.js • TypeScript • Express.js • MongoDB • SQL — any one SQL database • Redis/ Redis Caching • AWSCloud • Network & Infrastructure fundamentals • Microservices Architecture • Docker • CI/CD Git • unit Testing / Test Automation • Abilityto work independently and take ownership Good to Have • Microsoft Azure knowledge • Experience working With Code Bots / Al-assisted development tools Lead N s Developer Pune • Domain experience in FinTech, Travel, ERP, or IoT Experience &

Other Requirements • 5—7 years Of relevant software development experience. • Strong hands-on experience in backend development using Node.js and TypeScript. • Good understanding Of scalable and distributed system design. • Strong problem-solving, debugging, and analytical skills. • Ability to independently manage tasks and deliver production-ready solutions. • Immediate joiners or candidates With a short notice period are preferred

Role Overview

We are looking for a driven and analytical Product Manager to own end-to-end product initiatives across our fintech ecosystem. You will work closely with Engineering, Growth, Risk, and Operations teams to build scalable, customer-centric solutions that drive measurable business impact.

Key Responsibilities

• Own the product lifecycle from problem discovery → PRD → launch → iteration
• Write clear and structured PRDs, user stories, and acceptance criteria
• Collaborate cross-functionally with Engineering, Design, Growth, Risk, and Business teams
• Define product roadmaps and prioritize based on impact and feasibility
• Analyze product performance, funnels, and user behavior using data
• Drive experimentation, A/B testing, and continuous optimization
• Translate business goals into scalable product solutions

Required Skills & Qualifications

• 3–7 years of Product Management experience (preferably in fintech/startup environments)
• Strong analytical skills with hands-on experience in SQL and Excel/Google Sheets
• Experience working in Agile environments with engineering teams
• Ability to think structurally and solve complex product problems
• Strong stakeholder management and communication skills
• Working understanding of APIs, integrations, and system workflows
• Comfort using AI tools to enhance productivity, documentation, research, and product discovery
• Basic understanding of prompt structuring to improve research, analysis, and workflow efficiency

role: data engineer

Python pyspark, SQL, data engineer

5+yrs

Bangalore/Hyderabad

immediate to 15days.

Key Responsibilities

● Design, develop, and maintain applications using the Frappe Framework.

● Build and customize ERPNext modules based on business requirements.

● Develop REST APIs and backend services for internal and external integrations.

● Optimize database queries and application performance.

● Create custom DocTypes, Reports, Workflows, and Server Scripts.

● Integrate third-party systems, APIs, and external services.

● Troubleshoot production issues and implement long-term solutions.

● Collaborate with frontend developers, product managers, and stakeholders.

● Participate in code reviews and maintain coding standards.

● Ensure application security, scalability, and reliability.

Required Skills

● 2–5 years of backend development experience.

● Hands-on experience with Frappe Framework.

● Strong knowledge of Python programming.

● Experience with ERPNext customization and implementation.

● Strong understanding of MariaDB/MySQL databases.

● Experience in REST API development and integrations.

● Knowledge of Git and version control practices.

● Understanding of Linux environments and deployment processes.

● Strong debugging and problem-solving skills.

Good to Have

● Experience with Docker and containerized deployments.

● Exposure to AWS, GCP, or cloud environments.

● Knowledge of Redis, background jobs, and caching mechanisms.

● Experience working with AI-powered applications or integrations.

● Familiarity with CI/CD pipelines.

● Understanding of system architecture and scalability concepts.

What We're Looking For

● Startup mindset and willingness to take ownership.

● Strong analytical and troubleshooting abilities.

● Ability to work independently with minimal supervision.

● Comfortable working in a dynamic and fast-paced environment.

● Excellent communication and collaboration skills.

● Passion for learning new technologies and solving challenging problems.

Job descriptions

Money Honey Financial Services has an open position for a well-qualified .Net Full-Stack Developer, to be filled immediately. If you have a combination of deep experience with .Net Core 6 & above, Angular 8 & above, ASP.Net MVC, C#, JQuery, JavaScript, experience with databases (SQL Server or My SQL) and domain-driven application systems, a history of working successfully in small innovative software teams, and a flexible, upbeat approach to working with colleagues

Responsibilities :

• Work with the .Net team, promoting the creation of elegant, practical solutions to meet the company's business goals.

• Prepare reports, manuals and other documentation on the status, operation and maintenance of software. Work closely with the Team Lead of Technology to assist in the analysis, evaluation and recommendation of new application and technology appropriate to the company.

• Understand how our applications operate, are structured, and how users use them.

About Company:

The Money Honey is a one-stop shop for information, advice as well as transaction execution of financial services. Money Honey along-with its subsidiaries caters to entire gamut of financial services including equities and commodities broking, portfolio management, distribution of mutual funds, Stocks, Commodities, Govt Bonds, IPO, Fixed Deposit, etc. The Money Honey Financial Services Limited straddle the entire financial services space with offerings ranging from Mutual Funds, Fixed deposits, Bonds, Equities and derivatives trading, Commodities trading, Portfolio Management Services, and other small savings instruments. We have started operation in 2008 with two member team and today more than 150 members are associated with organization. Currently we are managing more than Rs2,500 crore of asset under management.

Work Location : Near Ram Mandir Railway Station, Goregaon West, Mumbai Office location is walk able distance from Ram Mandir Railway Station

Please forward your resume.

We are looking for an integration engineer to assist our rapidly growing customer base. As part of our integration team, you will be the primary point of contact for all integrations. You would be responsible for helping our clients integrate with OneFin APIs, configuring our system for clients, and providing ongoing help to them to resolve any issues.

Application form: https://forms.gle/KbbeXxqhwpwnCzcDA

Responsibilities

• Understand and explain APIs to clients. Help clients integrate OneFin APIs. Research and identify solutions to issues during integration.
• Escalate unresolved issues to appropriate internal teams (e.g., software developers).
• Become a product expert for clients.
• Configure the OneFin system for customized usage by clients. Identify and write internal and external technical articles or knowledge-base entries, like typical troubleshooting steps, workarounds, or best practices, how-to guides, etc.
• Automate the solution of common issues using Python.
• Help live clients resolve issues and coordinate with the development team for issue resolution.

Requirements and Qualifications:

• BS/B.Tech. in Computer Science, Engineering, or an equivalent.
• Strong verbal and written communication skills.
• Experience in writing code in Python.
• Understanding web-based systems.
• Proficient in understanding and writing JSON.
• Experience in SQL databases.
• Experience working with REST APIs.
• Excellent analytical skills, passion for pinning down technical issues, and solving problems.
• Enjoys a fast-paced startup environment.

Job Description

We are looking for an experienced .NET Full Stack Developer with strong expertise in backend and frontend development. The ideal candidate should have hands-on experience in building, developing, and maintaining scalable web applications using C#, .NET/.NET Core, Angular 16, SQL, PostgreSQL, and AWS.

Key Responsibilities

• Design, develop, and maintain scalable web applications using C#, .NET and .NET Core.
• Develop responsive and user-friendly web applications using Angular 16, JavaScript, HTML, and CSS.
• Develop and integrate RESTful APIs and third-party services.
• Design, write, optimize, and maintain complex SQL queries, stored procedures, and database objects.
• Work with SQL Server and PostgreSQL databases.
• Implement application features following coding standards, security practices, and development best practices.
• Participate in the complete software development lifecycle, including design, development, testing, debugging, deployment, and maintenance.
• Deploy and manage applications using AWS cloud services.
• Develop and maintain CI/CD pipelines for automated build, testing, and deployment.
• Troubleshoot production issues and perform application performance optimization.
• Collaborate with developers, QA teams, business analysts, and other stakeholders to understand requirements and deliver quality solutions.
• Participate in code reviews and ensure code quality, scalability, maintainability, and security.
• Work in an Agile/Scrum development environment.

Mandatory Skills

• C#
• .NET / .NET Core
• ASP.NET Core
• Angular 16
• JavaScript
• HTML5 / CSS3
• SQL
• PostgreSQL
• REST API / Web API
• AWS
• CI/CD
• DevOps
• Git

Backend

• C#
• .NET / .NET Core
• ASP.NET Core
• Web API
• RESTful APIs
• Entity Framework / EF Core
• LINQ

Frontend

• Angular 16
• JavaScript / TypeScript
• HTML5
• CSS3
• Responsive UI development

Database

• SQL
• SQL Server
• PostgreSQL
• Complex queries
• Stored Procedures
• Database optimization

Cloud & DevOps

• AWS
• AWS cloud services
• CI/CD pipelines
• Build and deployment automation
• Git / GitHub
• Basic DevOps practices

Preferred Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Experience working in Agile/Scrum environments.
• Good knowledge of Git and modern software development practices.
• Experience with application performance tuning and production support.
• Strong problem-solving and analytical skills.
• Good communication and collaboration skills.

Company: Wissen Technology

Position: Databricks Engineer

Experience: 6-10 Years

Location: Bengaluru/Mumbai

Employment Type: Full-time

About Wissen Technology

Wissen Technology is a global technology services company focused on delivering innovative software engineering, data, and technology solutions to leading enterprises. The company works with clients across industries to build scalable, high-performance technology platforms and solve complex business and technology challenges.

With a strong focus on engineering excellence, innovation, and collaboration, Wissen Technology brings together skilled technology professionals across areas such as software engineering, data engineering, cloud, analytics, and digital transformation.

At Wissen Technology, employees have the opportunity to work on challenging technology projects, collaborate with experienced engineering teams, and contribute to solutions that create measurable business impact.

Key Responsibilities

• Design, develop, and maintain scalable data processing applications using Python, PySpark, and Spark.
• Develop and optimize data pipelines and workflows on Databricks.
• Collaborate with data engineers, data scientists, business stakeholders, and other technical teams to understand requirements and deliver high-quality solutions.
• Ensure data integrity, quality, performance, and reliability across data processing pipelines.
• Write clean, maintainable, scalable, and efficient code following established coding standards and best practices.
• Perform data analysis and implement appropriate data validation and quality checks.
• Monitor, troubleshoot, and optimize performance issues across data workflows and pipelines.
• Work with relational databases and develop efficient SQL queries for data extraction and transformation.
• Participate in code reviews, testing, deployment, and continuous improvement of data engineering solutions.
• Use Git/version control and follow established software development and deployment practices.

Required Skills & Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, or a related field.
• Proven experience as a Databricks Developer, Data Engineer, or similar role.
• Strong hands-on expertise in Apache Spark and PySpark.
• Strong programming skills in Python; experience with Scala is an advantage.
• Strong proficiency in SQL and hands-on experience with relational databases.
• Practical experience developing and optimizing data pipelines and data processing applications.
• Familiarity with Git and version control systems.
• Strong understanding of data engineering concepts, data transformation, and data validation.
• Excellent analytical and problem-solving skills.
• Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.

Location: Westend, Hyderabad (Tellapur area) — 5 days/week on-site

Shift: 7:00 PM – 4:00 AM IST (US ET)

Experience: 3–5 years

Willing and able to work 7 PM–3 AM IST, on-site, 5 days a week

About the role

We're a USA-based company looking for one full-stack developer to join us offshore start up on-site. You'll own features end to end — from debugging a production issue in the evening to shipping a new page overnight. This is a hands-on coding role and support role. 

What you'll do

Build and maintain full-stack web applications (front-end + back-end + database)

Debug and fix live website issues — HTML/CSS/JS, APIs, and server-side code

Work with CMS-driven websites; Sitecore experience is a strong plus

Use AI coding tools (Claude, GitHub Copilot, etc.) to move faster — while owning the quality of what ships

Collaborate directly with the founder/lead — no layers, your work is visible

What we're looking for

3–5 years of professional full-stack development experience

Strong fundamentals: you can read, write, and debug real code without leaning on AI for everything

Solid with JavaScript/TypeScript, HTML/CSS, REST APIs, and SQL

Experience with C# / ASP.NET (Core or MVC)

Comfortable debugging websites in production: browser dev tools, logs, network traces

Plus: Sitecore CMS experience; any other CMS (Umbraco, WordPress, Contentful) also counts

Plus: daily user of Claude, Copilot, or similar AI coding assistants

Compensation

₹6 LPA, based on experience

Job Title : Tech Lead – Data Lake Platform

Number of Positions : 2

Experience : 7+ Years

Role Type : Technical Lead / Data Platform Lead

Domain : Data Engineering / Data Platform / AWS

About the Role :

We are looking for an experienced Tech Lead – Data Lake Platform to lead the design, development, and operations of an enterprise-scale AWS-based Data Lake Platform.

The platform will ingest data from multiple business systems, process it through structured data layers, and serve data for analytics, reporting, APIs, and operational applications.

As a Tech Lead, you will be responsible for setting the technical direction, leading data engineering teams, driving platform reliability and performance, and owning the platform's delivery, governance, and production support end to end.

Core Tech Stack :

AWS | S3 | EMR | Glue | Athena | Redshift | DMS | Lambda | RDS | IAM | Airflow | Spark/PySpark | SQL | Data Modeling | Hasura | GraphQL | DBT | PostgreSQL/Aurora | Kafka

Key Responsibilities :

• Own the overall Data Lake Platform architecture, covering data ingestion, staging, curated layers, consumption, analytics, and API/data serving.
• Lead the design and development of production-grade data pipelines using AWS Glue, EMR/Spark, Airflow, DBT, Athena, and Redshift.
• Design scalable batch and analytics pipelines with a focus on reliability, performance, data quality, and maintainability.
• Own the API/data-serving architecture from consumption data → RDS/PostgreSQL → Hasura GraphQL → Lambda/API Gateway.
• Drive improvements in platform stability, including orchestration failures, cluster sizing, pipeline SLAs, query performance, and production reliability.
• Design and implement appropriate AWS security, access control, IAM, PII handling, and data governance practices.
• Lead technical discussions, architecture decisions, code reviews, and engineering best practices.
• Mentor and guide data engineers while ensuring high-quality and scalable engineering delivery.
• Own production support, incident management, troubleshooting, and root-cause analysis (RCA) for critical data platform issues.
• Develop and maintain runbooks, operational procedures, monitoring, and incident response practices.
• Collaborate with business, product, application, and analytics teams to onboard new datasets and support reporting, API, and data consumption requirements.
• Ensure the platform meets defined availability, performance, security, data quality, and compliance requirements.

Must-Have Skills :

• 7+ years of experience in Data Engineering, Data Platform Engineering, or related areas, including experience in technical leadership or architecture.
• Strong hands-on experience with AWS Data Services, including:
• Amazon S3
• AWS EMR
• AWS Glue
• Amazon Athena
• Amazon Redshift
• AWS DMS
• AWS Lambda
• Amazon RDS
• AWS IAM
• Strong production experience with Apache Airflow.
• Strong hands-on experience with Apache Spark / PySpark.
• Strong SQL skills and experience with data modeling, including layered data architecture, data marts, and enterprise data models.
• Experience with Hasura or a similar GraphQL layer for PostgreSQL-based data/API serving.
• Strong understanding of data lake architecture and enterprise data platforms.
• Proven experience leading engineers and driving technical decisions.
• Hands-on experience with production support, troubleshooting, incident management, and RCA.
• Strong understanding of data platform performance, scalability, reliability, and SLA management.

Good-to-Have Skills :

• Experience with DBT and modern data transformation practices.
• Experience with lakehouse table formats on Amazon S3, such as Apache Iceberg or similar technologies.
• Strong knowledge of Amazon Redshift workload optimization, including :
• Distribution keys
• Sort keys
• Spectrum
• External tables
• Experience with Kafka or other streaming/data ingestion technologies.
• Experience with PostgreSQL / Amazon Aurora as a data-serving layer.
• Experience with Lambda and API Gateway for API-based data serving.
• Experience with enterprise data governance, data quality, security, and compliance.
• Experience in BFSI / Banking / Financial Services / Insurance domain.

Ideal Candidate :

The ideal candidate is a hands-on Data Platform / Data Engineering Lead who can operate at both the architecture and implementation level. You should be comfortable designing an AWS Data Lake from end to end, leading engineers, troubleshooting production issues, and working closely with business and application teams to deliver reliable data products.

Data Architect – Databricks & AWS

• Strong experience in Data Architecture, Data Engineering, Databricks, Apache Spark/PySpark, Python, and Advanced SQL.
• Design and implement scalable ETL/ELT pipelines, data platforms, and Lakehouse architectures using Medallion Architecture.
• Experience with Databricks, Databricks Workflows, Unity Catalog OR Databricks Jobs
• Strong knowledge of Delta Lake, Databricks Workflows, Delta Live Tables (DLT), and dimensional data modeling.
• Hands-on experience with AWS services such as S3, Glue, IAM, Lambda, and CloudWatch.
• Experience with Apache Airflow, Data Warehouse concepts, Git/CI-CD, performance optimization, and data quality.
• Good to have exposure to Kafka/Structured Streaming, Unity Catalog, and modern data governance.

Responsibilities:

• Architect, develop, and maintain backend components for our Risk Decisioning Platform.
• Build and orchestrate scalable backend services that automate, optimize, and monitor high-value credit and risk decisions in real time.
• Integrate with ORM layers - such as SQLAlchemy - and multi-RDBMS solutions (Postgres, MySQL, Oracle, MSSQL, etc. ) to ensure data integrity, scalability, and compliance.
• Collaborate closely with Product Team, Data Scientists, QA Teams to create extensible APIs, workflow automation, and AI governance features.
• Architect workflows for privacy, auditability, versioned traceability, and role-based access control, ensuring adherence to regulatory frameworks.
• Take ownership from requirements to deployment, seeing your code deliver real impact in the lives of customers and end users.

Requirements:

• Proficiency in Python, SQLAlchemy (or similar ORM), and SQL databases.
• Experience developing and maintaining scalable backend services, including API, data orchestration, ML workflows, and workflow automation.
• Solid understanding of data modeling, distributed systems, and backend architecture for regulated environments.
• Curiosity and drive to work at the intersection of AI/ML, fintech, and regulatory technology.
• Experience mentoring and guiding junior developers.

Technical Skills:

• Languages: Python 3.9+, SQL, JavaScript/TypeScript, Angular.
• Frameworks: Flask, SQLAlchemy, Celery, Marshmallow, Apache Spark.
• Databases: PostgreSQL, Oracle, SQL Server, Redis.
• Tools: pytest, Docker, Git, Nx.
• Cloud: Experience with AWS, Azure, or GCP preferred.
• Monitoring: Familiarity with OpenTelemetry and logging frameworks.

Role Overview 

The Business Analyst for the CCX Customer Success AI Acceleration workstream partners closely with Engineering, Product Management, and Program teams to translate customer success strategy and AIdriven use cases into clear, actionable requirements that enable scalable delivery. This role sits on the engineering side of the house, acting as a connective layer between business intent, technical execution, and AIenabled platform outcomes. 

The Business Analyst ensures that AI acceleration initiatives across the Customer Success Platform are well‑defined, appropriately prioritized, and traceable from business objectives through system design and delivery. This includes refining problem statements, documenting requirements, supporting backlog readiness, and helping teams move quickly without losing alignment or clarity. 

Requirements 

• Proven experience as a Business Analyst supporting engineering teams, preferably in enterprise, platform, or SaaS environments. 

• Strong ability to translate business needs, customer success objectives, and AI use cases into clear functional and non‑functional requirements. 

• Experience working on AI‑enabled or data‑driven products, including concepts such as automation, recommendations, agentic workflows, or insights powered by analytics. 

• Ability to partner effectively with Engineers, Product Managers, Technical Program Managers, and UX to support backlog refinement and delivery planning. 

• Experience creating and maintaining artifacts such as user stories, acceptance criteria, process flows, data mappings, and dependency documentation. 

• Comfort operating in fast‑paced, iterative delivery environments, supporting AI acceleration efforts where requirements evolve quickly. 

• Strong analytical skills with the ability to identify gaps, risks, dependencies, and edge cases early in the development lifecycle. 

• Clear written and verbal communication skills, with the ability to align technical and non‑technical stakeholders. 

• Familiarity with ServiceNow‑style enterprise platforms, customer success workflows, or complex system integrations is a strong plus. 

• Bachelor’s degree in Business, Information Systems, Engineering, or a related field—or equivalent professional experience. 

Dear Candidate,

Greeting from NAM Info Pvt Ltd.

We have a role for Camstar (Siemens Opcenter) position with NAM Info.

This role will be permanent with NAM info and deploy to client location BANGALORE~PUNE~HYDERABAD.

Work Mode: WORK FROM OFFICE

Notice Period: Immediate to 15 days Max

A decent hike can be provided based on current CTC

Role Descriptions:

Exp Range: 2 – 4 years

Key Responsibilities*

Forgerock Identity Management Role Descriptions: Strong hands-on experience with Ignition SCADA (Vision andor Perspective) Proficiency in Python scripting (Jython) Experience with SQL and relational databases Knowledge of industrial communication protocols (OPC UA| Modbus| EthernetIP) Understanding of SCADA| HMI| MES concepts Experience integrating with PLCs and industrial devices

Essential Skills: Camstar siemens

Desire candidate

• Candidate should have valid PF.

About VerbaFlo

VerbaFlo.ai is a fast-growing AI SaaS startup building a next-generation AI automation platform for real estate, PBSA, and enterprise teams — powering conversations, workflows, campaigns, and decision-making across channels. As a part of our dynamic team, you’ll work alongside industry leaders and visionaries to drive innovation and execution across multiple functions, as VerbaFlo scales rapidly across the UK, EU, and the US.

Role Overview

We are looking for a sharp Product Manager to help scale and evolve VerbaFlo’s AI automation platform, which is already live with real estate, PBSA, and enterprise customers across multiple markets. You will work closely with engineering, AI, design, and customer-facing teams to identify high-impact problems, define solutions, and ship features that deepen the value customers get from VerbaFlo every day. This is an ideal role for an experienced product manager who is comfortable going deep on technology, can own significant areas of the platform end to end, and wants to help shape product direction at a fast-scaling AI company.

Responsibilities

• Own the end-to-end product lifecycle for features and modules, from problem discovery to launch and iteration.
• Scale and evolve the core platform as our customer base grows, balancing new capabilities with reliability.
• Conduct customer discovery through interviews, call reviews, and feedback sessions across the UK, EU, and US.
• Translate customer and business needs into clear PRDs, user stories, and acceptance criteria.
• Prioritise the roadmap using data, customer impact, and business value, and communicate trade-offs clearly.
• Work closely with engineering on scoping, technical trade-offs, sprint planning, and delivery.
• Partner with AI/ML engineers to define use cases for LLM-powered agents, voice, and conversational workflows. Define evaluation criteria for AI features — accuracy, latency, hallucination rates, and conversation quality.
• Write and iterate on prompts, conversation flows, and agent behaviours alongside the AI team.
• Collaborate with design to create intuitive user journeys, wireframes, and prototypes.
• Define success metrics and build dashboards to track adoption, engagement, and customer outcomes.
• Analyse product usage data and conversation logs to identify gaps and opportunities.
• Run experiments and A/B tests to validate hypotheses and improve product performance.
• Coordinate launches with sales, marketing, and customer success, including release notes, demos, and enablement.
• Support integrations with CRMs, property management systems, and third-party platforms used by our customers.
• Gather and synthesise feedback from sales calls, support tickets, and enterprise client reviews.
• Track the competitive landscape and emerging AI capabilities, turning insights into product bets.
• Establish and own lean product processes, documentation, and rituals as the team scales.

Requirements

• 4-5 years of experience in Product Management, ideally in B2B SaaS or AI-first products.
• Track record of owning a product area end to end and driving measurable business outcomes.
• Experience taking a product or feature from 0 to 1 is preferred.
• Working understanding of LLMs, AI agents, APIs, and how modern software systems are built.
• Hands-on experience with AI tools, prompt engineering, or no-code/low-code builders is a plus.
• Ability to write crisp PRDs and communicate clearly with engineers, designers, and business stakeholders.
• Strong analytical skills; comfortable with SQL, spreadsheets, and product analytics tools.
• Customer-obsessed, with a track record of turning user insight into shipped product.
• Exposure to real estate, PBSA, proptech, or conversational AI is a strong plus.
• Comfortable working across time zones with international customers and teams.
• Strong ownership, bias for action, and follow-through on multiple concurrent priorities.
• Sharp, structured problem-solver who is comfortable operating with ambiguity.
• Ambition to grow into a senior product leadership role.

Why Join Us?

• Shape a live AI product used by enterprise customers, with real ownership from day one.
• Work alongside a strong, hands-on engineering and AI team.
• Work across global markets — UK, EU, India, and US.
• Work at the cutting edge of LLMs, voice AI, and agentic automation.
• A clear growth path toward senior product leadership.

If you’re a builder at heart who loves turning messy problems into products customers can’t live without, and you’re excited to help shape the future of AI automation at VerbaFlo, we’d love to hear from you!

About VerbaFlo.ai:

VerbaFlo.ai is a fast-growing AI SaaS startup revolutionizing how businesses leverage AI-powered solutions. As a part of our dynamic team, you’ll work alongside industry leaders and visionaries to drive innovation and execution across multiple functions.

Role Overview:

We are seeking a Senior Business Data Analyst with strong experience in analytics, SQL, and dashboarding (preferably Metabase) who can independently lead complex analytical initiatives, translate business problems into scalable data solutions, and mentor junior analysts. This role demands someone who can think strategically, operate with high ownership, and ensure the company runs on accurate, timely, and actionable insights.

Responsibilities:

Strategic & Cross-Functional Ownership

• Partner with leadership (Product, Ops, Growth, Finance) to translate business goals into analytical frameworks, KPIs, and measurable outcomes.
• Influence strategic decisions by providing data-driven recommendations, forecasting, and scenario modeling.
• Drive adoption of data-first practices across teams and proactively identify high-impact opportunity areas.

Analytics & Dashboarding

• Own end-to-end development of dashboards and analytics systems in Metabase (or similar BI tools).
• Build scalable KPI frameworks, business reports, and automated insights to support day-to-day and long-term decision-making.
• Ensure data availability, accuracy, and reliability across reporting layers.

Advanced Data Analysis

• Write, optimize, and review complex SQL queries for deep-dives, cohort analysis, funnel performance, and product/operations diagnostics.
• Conduct root-cause analysis, hypothesis testing, and generate actionable insights with clear recommendations.

Data Infrastructure Collaboration

• Work closely with engineering/data teams to define data requirements, improve data models, and support robust pipelines.
• Identify data quality issues, define fixes, and ensure consistency across systems and sources.

Leadership & Process Excellence

• Mentor junior analysts, review their work, and establish best practices across analytics.
• Standardize reporting processes, create documentation, and improve analytical efficiency.

Core Requirements:

• 5–8 years of experience as a Business Analyst, Data Analyst, Product Analyst, or similar role in a fast-paced environment.
• Strong proficiency in SQL, relational databases, and building scalable dashboards (Metabase preferred)
• Demonstrated experience in converting raw data into structured analysis, insights, and business recommendations.
• Strong understanding of product funnels, operational metrics, and business workflows.
• Ability to communicate complex analytical findings to both technical and non-technical stakeholders.
• Proven track record of independently driving cross-functional initiatives from problem definition to execution.
• Experience with Python, Git, or BI tools like Looker/Power BI/Tableau.
• Hands-on with data warehouses (BigQuery, Redshift, Snowflake).
• Familiarity with product analytics tools (Mixpanel, GA4, Amplitude).
• Exposure to forecasting, financial modeling, or experimentation (A/B testing).

Why Join Us?

• Work directly with top leadership in a high-impact role.
• Be part of an innovative and fast-growing AI startup.
• Opportunity to take ownership of key projects and drive efficiency.
• A collaborative, ambitious, and fast-paced work environment.
• Perks & Benefits: gym membership benefit, workation policy, and company-sponsored lunch.

If you’re looking for an exciting role that combines strategy, execution, and leadership exposure, we’d love to hear from you!

Apply now to join VerbaFlo.AI on this journey.

1st virtual , 2nd round F2F

Python pyspark, SQL, data engineer

5+yrs

9+yrs

Bangalore/Hyderabad

immediate to 15days.

Job Description – Data Engineer

Role: Data Engineer

Experience: 9+ Years

Location: Bangalore / Hyderabad

Notice Period: Immediate to 15 Days

Interview Process: 1st Round – Virtual | 2nd Round – F2F

Mandatory Skills

• Python
• PySpark
• SQL
• Azure Data Engineering

Job Description

We are looking for an experienced Azure Data Engineer with 9+ years of experience and strong hands-on expertise in Python, PySpark, SQL, and Azure Data Engineering.

Key Responsibilities

• Develop and maintain scalable data engineering solutions using Azure.
• Build and optimize data processing pipelines using PySpark and Python.
• Write complex SQL queries for data extraction and transformation.
• Work with Azure data services and cloud-based data platforms.
• Perform data processing, transformation, and integration.
• Troubleshoot data pipeline and production issues.
• Collaborate with technical and business teams to deliver data solutions.

Preferred: Immediate to 15 Days joiners.