257 SQL Jobs in Hyderabad | SQL Job openings in Hyderabad

Job Summary

We are looking for a Verint WFO / Recording Support Engineer with 2+ years of hands-on experience in supporting Verint Workforce Optimization and Recording solutions. The candidate will be responsible for production monitoring, application health checks, troubleshooting recording-related issues, log analysis, incident management, and coordination with internal teams and vendor support.

Key Responsibilities

• Provide L1/L2 production support for Verint WFO and Recording environments.
• Monitor Verint WFO applications, services, servers, and system alerts.
• Perform regular health checks of Verint WFO and Recording components.
• Troubleshoot call recording-related issues, including:
• Missing recordings
• Recording failures
• Incomplete recordings
• Recording quality issues
• Recording availability issues
• Recording search/playback issues
• Analyze Verint application and recording logs to identify the root cause of incidents.
• Troubleshoot Verint application services and connectivity issues between WFO components.
• Perform basic troubleshooting of database and SQL-related issues.
• Perform application/service restarts as per approved troubleshooting procedures.
• Perform post-restart and post-maintenance health checks and validation.
• Escalate complex issues to L3 teams or Verint vendor support when required.
• Participate in Verint WFO patching, upgrades, and maintenance activities.
• Follow Incident, Change, and Problem Management processes.
• Maintain troubleshooting documentation, incident updates, and knowledge-base articles.
• Participate in rotational/on-call support as required.

Required Skills

• 2+ years of hands-on experience with Verint WFO / Recording.
• Good understanding of Verint WFO architecture and components.
• Hands-on experience in Verint Recording troubleshooting.
• Good knowledge of call recording and contact center concepts.
• Strong log analysis and troubleshooting skills.
• Basic knowledge of SQL/database troubleshooting.
• Basic knowledge of Windows/Linux servers.
• Basic understanding of TCP/IP, DNS, networking, and common ports.
• Basic understanding of SIP/VoIP concepts.
• Experience with monitoring and logging tools.
• Experience working in a production support environment.
• Good communication, analytical, and incident-management skills.

Good to Have

• Experience with Verint WFO patching, upgrades, or migrations.
• Knowledge of Workforce Management (WFM).
• Knowledge of Verint Speech Analytics.
• Knowledge of Verint Quality Management.
• Experience with ITSM tools.
• ITIL knowledge or certification.

Key Mandatory Skills

Verint WFO | Verint Recording | 2+ Years Experience | Production Support | Recording Troubleshooting | Log Analysis | SQL Basics | SIP/VoIP Basics | Networking Basics | Monitoring

🚨 Hiring: MicroStrategy Developer

We are looking for an experienced MicroStrategy Developer for a 6-month contract opportunity.

📌 Role: MicroStrategy Developer

💼 Experience: 5+ Years

📍 Location: Bangalore / Hyderabad / Mumbai / Delhi

🏢 Work Mode: Onsite

📅 Contract: 6 Months

Key Requirements:

• 5+ years of hands-on MicroStrategy experience

• Strong experience in MicroStrategy development

• Strong SQL skills

• Experience in BI reporting and dashboard development

• Experience with data warehousing and analytics

• Ability to understand business requirements and develop reporting solutions

• Experience in troubleshooting and supporting MicroStrategy applications

Interested candidates can apply with their updated resume.

We are looking for a People Analytics Manager to turn people data into decisions.

Responsibilities

• Build HR and recruitment dashboards
• Analyse hiring, attrition and engagement trends
• Improve HR data quality
• Present insights to HR leadership

Requirements

• 3+ years in people or HR analytics
• Skilled in Power BI or Tableau, and SQL or Excel
• Strong storytelling with data

SAS 9.4 Administrator – Job Description

Location: WFO – Immediate Joiner

Experience: 5+ Years

Key Responsibilities:

• Administer and support SAS 9.4, with hands-on experience in SAS 9.4 M7/M8/M9 environments.
• Manage and maintain SAS Grid platforms, including installation, configuration, monitoring, and troubleshooting.
• Hands-on experience with SAS Viya 3.x or Viya 4.x environments.
• Perform SAS application, server, user, access, and environment administration.
• Monitor system performance, troubleshoot issues, and support incident/problem resolution.
• Work with Linux/Unix environments for administration, scripting, and troubleshooting.
• Manage and support Oracle and SQL databases integrated with SAS environments.
• Perform deployments, upgrades, patching, configuration changes, and environment maintenance.
• Coordinate with application, database, infrastructure, and support teams for issue resolution.
• Prepare technical documentation and follow operational procedures and security standards. 

Job Summary

We are looking for an experienced Essbase Developer / Consultant with strong hands-on experience in Oracle Essbase OLAP (ASO/BSO) and financial reporting solutions. The candidate will be responsible for designing, developing, testing, supporting, and optimizing Essbase applications and reporting solutions.

The role requires strong technical expertise in Essbase, financial reporting, database modeling, Unix/Linux scripting, and production support.

Key Responsibilities

• Design, develop, test, debug, document, and maintain Essbase solutions using Agile development practices.
• Manage the complete lifecycle of multidimensional financial reporting and analytical applications, including requirements gathering, design, development, testing, deployment, and maintenance.
• Develop and support Oracle Essbase ASO/BSO applications.
• Work extensively with:
• Essbase Outline Design
• Load Rules
• MaxL Scripts
• Calculation Scripts
• Partitions
• Security
• Performance Tuning and Optimization
• Smart View / Excel Add-in
• Design and maintain financial reporting and analytical solutions.
• Work with Star Schema design and relational database modeling using Oracle or SQL Server.
• Source hierarchy and fact data from file-based and relational data sources.
• Work with metadata management systems such as DRM (Data Relationship Management).
• Develop Unix/Linux shell scripts to automate Essbase database outline builds, data loads, and aggregations.
• Build and maintain automation processes using CA AutoSys.
• Troubleshoot and resolve complex technical issues in Essbase applications.
• Provide production and on-call support when required.
• Ensure quality, security, and compliance requirements are met.
• Collaborate with business users, finance teams, and technical stakeholders.
• Document technical solutions, processes, and application changes.

Mandatory Skills

• 7+ years of overall IT/application development experience.
• 5–7 years of hands-on experience with Oracle Essbase OLAP.
• Strong experience with Essbase ASO and BSO.
• Hands-on experience with Outline Design, Load Rules, MaxL, Calc Scripts, Partitions, Security, and Performance Tuning.
• Strong experience with Smart View / Excel Add-in.
• Experience with financial reporting and multidimensional analytical applications.
• Experience with Oracle or SQL Server databases.
• Strong knowledge of Star Schema and relational database modeling.
• Experience with Unix/Linux Shell Scripting.
• Experience with CA AutoSys.
• Experience supporting production environments and providing on-call support.
• Strong communication and stakeholder management skills.

We're hiring a Data Analyst to turn raw data into clear, actionable insight. You'll partner with product, sales, marketing, and operations teams to answer their most important questions with data — building dashboards, running deep-dive analyses, and defining the metrics the business runs on. The ideal candidate is fluent in SQL, comfortable wrangling messy datasets, and just as strong at telling the story behind the numbers as they are at producing them. You'll own the accuracy and trustworthiness of the reporting stakeholders rely on to make decisions.

Key Responsibilities

• Design, build, and maintain dashboards and recurring reports across business functions
• Write and optimize SQL queries to extract, join, and transform data from multiple sources
• Run ad-hoc and deep-dive analyses to answer specific business questions
• Define, document, and standardize metrics and KPIs alongside stakeholders
• Investigate data-quality issues and ensure the numbers people see are accurate
• Translate analysis into clear recommendations and present them to non-technical audiences
• Support experimentation and A/B test analysis where relevant
• Automate repetitive reporting to free up time for higher-value analysis

Requirements

• 3+ years in a data analyst or business-intelligence role
• Strong SQL and hands-on experience with Power BI and/or Tableau
• Working knowledge of Python (pandas/numpy) for analysis
• Solid grounding in statistics and analytical methods
• Advanced Excel and strong data-visualization / storytelling skills
• Ability to work independently with stakeholders across functions

Nice to have

• Experience with cloud data warehouses (BigQuery, Snowflake, Redshift)
• Exposure to dbt or other ETL/transformation tooling

We are hiring a Senior Data Governance Manager with 5+ years of data-management experience to define and run enterprise data governance policy, quality, metadata, lineage, and cataloging so the business can trust and safely use its data.

Key Responsibilities

• Define and enforce data governance policies and standards

• Own data quality frameworks, monitoring, and remediation

• Manage metadata, data lineage, and cataloging

• Drive master data management (MDM) practices

• Ensure compliance with privacy/regulatory requirements

• Align business and technical stakeholders on standards

Mandatory Skills

• 5+ years in data management with governance ownership

• Data governance frameworks and policy

• Data quality and master data management

• Metadata management and data cataloging

• Strong SQL and data-platform understanding

• Stakeholder alignment and compliance

Nice to Have: Collibra/Informatica/Alation; cloud data platforms (Snowflake, Azure, GCP)

We are seeking a Senior Data Science & ML Associate with 4+ years of applied ML experience to build and ship models end-to-end from data prep and feature engineering to training, evaluation, and deployment driving measurable business impact.

Key Responsibilities

• Build, train, and evaluate ML and deep-learning models

• Engineer features and prepare data at scale

• Deploy models and monitor production performance

• Partner with stakeholders to frame problems and metrics

• Communicate results and drive decisions

• Iterate on models from business feedback

Mandatory Skills

• 4+ years applied machine learning

• Strong Python (Pandas, NumPy, scikit-learn)

• Classical ML and deep learning (TensorFlow/PyTorch)

• Solid statistics and experiment design

• SQL and data wrangling at scale

• Model deployment / MLOps exposure

Nice to Have: NLP or computer vision; cloud ML (SageMaker, Azure ML)

We're hiring an SDE 2 to build reliable, high-scale services and own features end-to-end. You'll turn ambiguous problems into clean designs, write well-tested code, and raise the engineering bar on the team.

Mandatory skills

• 5+ years shipping production software

• Strong data structures, algorithms and problem-solving

• Hands-on system design for scalable services

• Proficiency in Java or Python

• Building and consuming RESTful APIs

• Solid SQL and version control (Git)

We are looking for a Backend Software Development Engineer with 6+ years building scalable, high-availability server-side systems. You'll design and own microservices and REST APIs, model data in SQL, and deploy on AWS, partnering with product and frontend teams end-to-end.

Mandatory skills

• 6+ years of backend development in Java and/or Python

• Strong hands-on experience designing microservices and RESTful APIs

• Solid database design and SQL optimization

• Production experience on AWS (or equivalent cloud)

• Strong CS fundamentals — data structures, concurrency, system design

• Experience owning services from design through production support

Data Engineer Hiring Post

🚨 Hiring: Data Engineer | PySpark + Python + SQL

We are looking for experienced Data Engineers to join our team!

🔹 Experience: 5 to 9 Years

🔹 Locations: Bangalore / Hyderabad

🔹 Interview Process:

• 1st Round – Virtual

• 2nd Round – Face-to-Face (Karat Test)

🔑 Key Skills:

✅ PySpark

✅ SQL

✅ Python

✅ ETL

📩 Interested candidates can share their updated resume.

#Hiring #DataEngineer #PySpark #Python #SQL #ETL #BangaloreJobs #HyderabadJobs #TechHiring #ImmediateHiring

Data Engineer Short Hiring Post

🚨 Hiring: Data Engineer

🔹 Experience: 5–9 Years

🔹 Location: Bangalore / Hyderabad

🔹 Skills: PySpark, Python, SQL, ETL, CI/CD, Data Modeling

🔹 Process: L1 Virtual → L2 F2F Karat Test

🔹 F2F: Bangalore / Hyderabad Location

🔹 Positions: Immediate requirement

⚠️ Note: Candidates must be available for F2F Karat immediately after L1.

#Hiring #DataEngineer #PySpark #Python #SQL #BangaloreJobs #HyderabadJobs #Mphasis #ImmediateJoiners

Job Overview

We are hiring a Senior Full-Stack Engineer to design and scale high-performance web applications. You will drive technical decisions using React, Node.js, and TypeScript while building event-driven cloud architectures.

Key Responsibilities

• Develop scalable frontend features using React and robust backend APIs with Node.js/TypeScript.
• Architect and deploy cloud-native microservices on AWS.
• Implement asynchronous communication using messaging tools like Kafka, RabbitMQ, SQS, or SNS.
• Optimize SQL/NoSQL databases and maintain automated CI/CD pipelines.
• Mentor junior developers and lead code reviews.

Required Skills

• 6+ years in full-stack software development.
• Mastery of TypeScript, React.js, and Node.js.
• Hands-on experience with AWS and modern messaging queues.
• Strong problem-solving and communication skills.

Location: Hyderabad

Founding Full-Stack Engineer / Technical Lead — X.re

We are building X.re — an AI-first CRM built specifically for real estate companies.

X.re is not another generic CRM. It is being designed around the real estate sales funnel, with AI-powered WhatsApp conversations, AI voice, lead scoring, workflow automation and advertising intelligence built into the system.

The product is already being built and is currently being tested with a real estate pilot client.

We are now looking for a senior engineer who can take ownership of the existing codebase and help take it from AI-assisted development into a robust, production-ready SaaS product.

What you'll be doing

• Take ownership of an existing Next.js + TypeScript codebase.
• Understand the existing architecture, database structure, APIs and application flows.
• Conduct a thorough engineering review and identify production, security, scalability and reliability risks.
• Refactor and improve the code where required rather than blindly rewriting the system.
• Build and maintain production-quality frontend and backend features.
• Design and maintain APIs, database models and integrations.
• Work on a multi-tenant SaaS architecture where each real estate brand has its own workspace and data isolation.
• Work closely with AI/LLM-powered features including chat, voice and lead intelligence.
• Work on WhatsApp Business API integrations, webhooks and messaging infrastructure.
• Build reliable automation and workflow functionality.
• Implement proper authentication, authorization, data isolation, logging, monitoring and error handling.
• Help establish engineering standards, testing and deployment practices.
• Eventually build and lead the engineering team as X.re scales.

What we're looking for

We are looking for someone who has strong engineering judgment, not someone who simply knows a list of technologies.

You should be able to:

• Enter an unfamiliar codebase and understand it quickly.
• Identify what is well designed and what is technically risky.
• Take an MVP and turn it into production-grade software.
• Make pragmatic architectural decisions.
• Think about security, scalability, reliability and maintainability.
• Work independently and take ownership.
• Read and review code generated or assisted by AI.
• Know when AI-generated code is acceptable and when it needs to be redesigned.
• Build rather than just manage developers.

Technical requirements

Strong experience with:

• TypeScript
• Next.js / React
• Node.js
• REST APIs
• PostgreSQL / SQL
• Modern SaaS application architecture
• Cloud deployment
• Git and production development workflows

Experience with the following is a strong advantage:

• AI/LLM applications
• WhatsApp Business API
• Webhooks
• Multi-tenant SaaS
• API integrations
• Docker
• AWS or similar cloud platforms
• CI/CD
• Observability and production monitoring

One important thing

This is not a greenfield project.

The existing product has been built significantly with AI-assisted development.

We are specifically looking for an engineer who is comfortable inheriting an existing codebase, understanding it deeply, challenging its assumptions, fixing what needs fixing, and taking responsibility for making it production-ready.

You will not be expected to rewrite everything just because it wasn't originally written by you.

Why this role is different

You won't just be implementing tickets.

You'll have significant influence over:

• Engineering architecture
• Production readiness
• Technical standards
• Infrastructure
• AI integration strategy
• Product engineering decisions
• Future engineering team structure

If things go well, this role can grow into Head of Engineering / CTO-level ownership as X.re scales.

Location

Hyderabad preferred. Remote candidates across India may be considered for the right candidate.

Compensation

₹20–35 LPA + ESOP

Compensation will depend on experience and level of ownership.

At Nineleaps, we work on bleeding-edge technology with class-leading engineering practices on products that touch the lives of millions of users. We endeavor on doing things the right way, while also promoting a culture of excellence.

About the Role:

We are looking for a Data Analyst with strong analytical and problem-solving skills to transform complex data into meaningful, actionable business insights. The role involves working with large datasets, conducting deep-dive analysis, driving automation, and supporting data-driven product and business decisions.

Key Responsibilities:

• Analyse historical and large datasets to understand data sources, identify trends and patterns, and uncover meaningful insights.
• Write complex SQL queries and leverage Python to perform data analysis, ad hoc investigations, and solve business problems.
• Create reports and translate analytical findings into clear, concise, and actionable recommendations for stakeholders.
• Identify opportunities to drive automation and process improvements, improving efficiency and reducing manual effort.
• Communicate data-driven insights effectively to both technical and non-technical stakeholders in a clear and impactful manner.
• Maintain accurate documentation, ensure high-quality deliverables, and consistently meet defined timelines.

Requirements:

• 3–6 years of experience in Data Analytics, Business Intelligence, Data Engineering, or a similar analytical role.
• Strong hands-on expertise in Python and advanced SQL, with the ability to work with and analyse large datasets.
• Experience working with Google Sheets, and implementing automation through data pipelines or workflows.
• Strong analytical and problem-solving skills, with the ability to interpret complex data and derive actionable insights.
• Excellent communication skills with the ability to effectively present methods, results, and recommendations to stakeholders.
• Ability to collaborate effectively with remote and geographically distributed teams across different time zones.

Company Link: https://www.nineleaps.com/

Company LinkedIn: https://www.linkedin.com/company/nineleaps/

We are looking for Java Full Stack Developers with strong experience in development using Java, Spring Boot, and REST APIs, along with exposure to front-end technologies such as Angular or React.

Required Skills:

• Strong proficiency in Java and Spring Boot framework.
• Hands-on experience in developing REST APIs and microservices architecture.
• Experience with Kafka.
• Experience with Spring Batch processing.
• Knowledge of Swagger/OpenAPI.
• Hands-on experience with OpenShift or container orchestration platforms.
• Strong understanding of JPA/Hibernate ORM frameworks.
• Experience working with relational and/or NoSQL databases.
• Proficiency in Git version control systems.
• Experience with CI/CD tools and deployment pipelines.
• Testing knowledge using JUnit.
• Experience with functional and API testing tools such as Postman.
• Front-end development experience with Angular or React.

Supercharge Your Career as a Technical Business Analyst at Technoidentity!

Are you ready to solve people challenges that fuel business growth? At Technoidentity, we’re a Data+AI product engineering company building cutting-edge solutions in the FinTech domain for over 13 years—and we’re expanding globally. It’s the perfect time to join our team of tech innovators and leave your mark!

What’s in it for You?

We are seeking an experienced Technical Business Analyst with strong Utility / Energy domain expertise to bridge business requirements and technical implementation. The ideal candidate will work closely with business stakeholders, product owners, and engineering teams to deliver high-quality solutions within Utility, Energy, and related enterprise platforms. You will be responsible for understanding utility business processes, translating

requirements into functional and technical specifications, and ensuring alignment between business objectives and system design.

Technical Business Analyst – Utility / Energy Domain

Hyderabad

Fulltime

What Will You Be Doing?

Requirement Gathering & Analysis

•Conduct detailed requirement-gathering sessions with business stakeholders in the Utility / Energy domain.

•Analyze business needs and translate them into clear functional and technical requirements.

Domain Analysis (Utility / Energy)

•Work on use cases related to Power & Utilities, Retail Energy, Metering, Billing, Customer Information Systems (CIS), Outage Management (OMS), Energy Trading, or Regulatory Reporting.

•Understand end-to-end utility workflows such as customer onboarding, billing cycles, consumption data, settlements, and compliance.

Documentation

• Create and maintain BRDs, FRDs, Functional Specifications, and User Stories.

• Ensure documentation reflects utility-specific business rules and regulatory constraints.

Process Mapping & Improvement

• Analyze current-state utility processes and define future-state workflows.

• Identify gaps, inefficiencies, and automation opportunities.

Stakeholder Communication

• Act as a liaison between utility business users, product teams, developers, QA, and project managers.

• Ensure alignment on scope, timelines, and deliverables.

Solution Design & Collaboration

• Work closely with engineering teams to design scalable solutions aligned with utility business requirements.

• Ensure solutions are technically feasible and compliant with industry standards.

Testing & Validation

• Define test scenarios and acceptance criteria.

•Participate in UAT, validating solutions against utility business needs.

Project & Post-Go-Live Support

•Support deployment and post-deployment activities.

•Assist in issue triaging and production support for utility applications.

What Makes You the Perfect Fit?

Education

• Bachelor’s degree in Computer Science, Information Systems, Business, or a related field.

Experience

•Minimum 8+ years of experience as a Business Analyst.

•Hands-on experience working on Utility / Energy domain projects is mandatory.

Technical Skills

•Familiarity with SQL, Java, JavaScript, Python or similar technologies.

•Experience with JIRA / Azure DevOps (ADO), Confluence, or similar tools.

•Strong skills in data analysis, data modeling, and process mapping. Soft Skills

•Strong analytical and problem-solving abilities.

•Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders.

•Experience working in Agile / Scrum environments.

Preferred Qualifications

•Business Analysis certifications such as ECBA, CBAP, PMI-PBA.

•Prior experience in Utility, Energy, Power, or related regulated industries.

•Exposure to Tolling, Collections, Finance, or Billing systems is an added advantage.

•Basic understanding of project management and cross-functional coordination.

Strong Senior Developer – PL/SQL, SQL & ETL (Microsoft SSIS) Profile

2

Mandatory (Experience 1) – Must have minimum 5+ years of strong hands-on experience in PL/SQL and SQL development, including complex stored procedures, functions, queries, joins, data manipulation, and query/performance optimization.

3

Mandatory (Experience 2) – Must have strong hands-on experience in ETL development using Microsoft SSIS, including building, maintaining, optimizing, and troubleshooting SSIS packages for large-volume data movement and transformation.

4

Mandatory (Experience 3) – Must have solid experience working with Data Warehousing concepts and architectures, including data models, fact/dimension structures, ETL data flows, and enterprise reporting/data warehouse environments.

5

Mandatory (Experience 4) – Must have experience managing batch jobs, scheduling, and data pipelines, ensuring timely and reliable execution of enterprise ETL workflows.

6

Mandatory (Experience 5) – Must have hands-on experience in production support for SSIS/ETL and data warehouse jobs, including monitoring job execution, troubleshooting failures, performing root cause analysis, and implementing preventive fixes.

7

Mandatory (Experience 6) – Must have experience with data quality, validation, and troubleshooting, including identifying and resolving data discrepancies/issues affecting downstream reports, dashboards, and analytics.

8

Mandatory (Experience 7) – Must have experience with unit, integration, and regression testing of SQL, PL/SQL, and ETL components, along with strong documentation of technical designs, data mappings, data flows, and deployment processes.

9

Mandatory (Location) – Must be willing to work in a hybrid model from a city where Cognizant has an office.

10

Mandatory (Notice Period) – Immediate joiners or candidates who can join within 2–4 weeks.

Role Summary:

We are looking for an experienced Application Production Support Engineer with strong expertise in application support, incident and change management, Linux/Unix, SQL, Oracle, and monitoring tools. The candidate will be responsible for maintaining application availability, troubleshooting production issues, monitoring system performance, and coordinating with technical and business stakeholders.

Key Responsibilities

• Provide L2/L3 production support for business-critical applications.
• Monitor applications and infrastructure using Splunk, Grafana, and AppDynamics.
• Analyze and resolve production incidents within defined SLAs.
• Perform incident, problem, change, and service request management.
• Troubleshoot application issues across Linux/Unix, SQL, and Oracle environments.
• Perform SQL queries and database-level troubleshooting to identify application issues.
• Analyze application logs, alerts, and performance metrics to identify root causes.
• Coordinate with development, database, infrastructure, and other technical teams for issue resolution.
• Participate in Root Cause Analysis (RCA) and implement corrective/preventive actions.
• Support application deployments, releases, and production changes.
• Ensure effective communication with business users and stakeholders during critical incidents.
• Identify recurring issues and drive problem management and service improvement initiatives.
• Maintain support documentation, knowledge articles, and operational procedures.
• Participate in on-call/shift support as required.

Mandatory Skills

• 6+ years of experience in Application Production Support.
• Strong experience in Incident & Change Management.
• Hands-on experience with Linux/Unix.
• Good knowledge of SQL and Oracle database support.
• Experience with monitoring and observability tools:
• Splunk
• Grafana
• AppDynamics
• Strong troubleshooting and problem-solving skills.
• Good understanding of application monitoring, logs, alerts, and performance analysis.
• Strong stakeholder management and communication skills

Location – Hyderabad (Hybrid)

Work Experience – 5 to 7 years

CTC – upto 20 LPA

Roles & Responsibilities:

· We are looking for a Senior Data Engineering who will be majorly responsible for designing, building and maintaining ETL/ ELT pipelines.

· Integration of data from multiple sources or vendors to provide the holistic insights from data.

· You are expected to build and manage Data warehouse solutions, designing data models, creating ETL processes, implementing data quality mechanisms etc.

· Performs EDA (exploratory data analysis) required to troubleshoot data related issues and assist in the resolution of data issues.

· Should have experience in client interaction.

· Experience in mentoring juniors and providing required guidance.

Required Technical Skills

· Extensive hands on experience in Python, Pyspark, SQL, Dataiku.

· Strong experience in Data Warehouse, ETL, Data Modelling, building ETL Pipelines, Snowflake database.

· Working knowledge in Databricks, Redshift, ADF etc.

· Hands-on experience in cloud services like Azure, AWS- S3, Glue, Lambda, CloudWatch, Athena.

· Sound knowledge in end-to-end Data management, Data ops, quality and data governance.

· Familiar with SFDC, Waterfall/ Agile methodology.

· Strong domain knowledge in Pharma domain/ life sciences commercial data operations.

Qualifications

· Bachelor’s or master’s Engineering/ MCA or equivalent degree.

· 5-7 years of relevant industry experience as Data Engineer.

· Experience working on Pharma syndicated data such as IQVIA, Veeva, Symphony; Claims, CRM, Sales etc.

· High motivation, good work ethic, maturity, self-organized and personal initiative.

· Ability to work collaboratively and providing the support to the team.

· Excellent written and verbal communication skills.

· Strong analytical and problem-solving skills. 

Strong hands-on experience with Adobe Workfront.

Expertise in Workfront architecture and enterprise implementations.

Advanced knowledge of:

• Workfront configuration
• Custom Forms & Custom Fields
• Workflows & Approval Processes
• Templates
• Reports & Dashboards
• Portfolios & Programs
• User/Role/Security Management

Strong experience with Workfront Fusion.

Experience designing API-based integrations.

Strong knowledge of REST APIs, JSON, HTTP, webhooks, and data mapping.

Experience with enterprise integration platforms/middleware.

Understanding of automation, scalability, security, and governance.

Ability to create high-level and low-level solution designs.

JD:

We are looking for a skilled Axiom Technical Analyst / Developer to support and enhance regulatory reporting platforms.

The ideal candidate will have strong hands-on experience with Axiom, solid SQL skills, and a good understanding of ETL processes. Exposure to Python is a plus.

This role involves close collaboration with Finance, and Data Engineering teams to ensure accurate, timely, and compliant data reporting.

Greetings From NAM Info Pvt Ltd

Job Title: STIBO STEP / Master Data Management Consultant

Experience: 6–8 Years

Job Summary

We are looking for an experienced STIBO STEP / Master Data Management (MDM) Consultant with strong hands-on experience in STIBO STEP 11.x. The candidate should be capable of designing and configuring MDM solutions, developing integrations, managing data quality, and working directly with customer stakeholders.

Key Responsibilities

• Understand business requirements and translate them into STIBO STEP configurations and technical solutions.
• Design and configure data models, attributes, hierarchies, classifications, relationships, and workflows.
• Configure business validation rules, lifecycle states, roles, permissions, and STEP UI components.
• Develop and manage imports, exports, publications, and syndications.
• Build integrations between STIBO STEP and systems such as SAP, Oracle ERP, eCommerce, PLM, and DAM.
• Work with REST/SOAP APIs, file-based interfaces, ETL tools, and message queues.
• Implement data quality, data governance, stewardship, match/merge, and reference data management processes.
• Troubleshoot performance and integration issues and perform root cause analysis.
• Support environment promotion, configuration transport, versioning, CI/CD, and deployment activities.
• Prepare technical/functional documentation, release notes, and training materials.
• Conduct customer workshops, present solutions, and communicate project status, risks, and issues.

Required Skills

• 6–8 years of experience in STIBO Master Data Management (MDM).
• Strong hands-on experience with STIBO STEP 11.x.
• Good knowledge of STEP data modeling, workflows, business rules, imports/exports, publications, and syndication.
• Programming/scripting knowledge in Java or JVM-based technologies.
• Strong knowledge of SQL, XML, XSD, XPath, and XSLT.
• Experience with REST and SOAP APIs.
• Experience integrating STIBO with enterprise systems such as SAP, Oracle ERP, eCommerce, PLM, or DAM.
• Strong experience with Oracle, MS SQL, or PostgreSQL.
• Good understanding of data quality and MDM governance.
• Strong communication and customer-facing skills.

Good to Have

• Experience with Informatica, Talend, or similar ETL tools.
• Knowledge of message queues and event-driven integrations.
• Experience with CI/CD and DevOps practices.
• Experience in performance optimization, security, and audit compliance.
• Ability to work independently and drive tasks to completion.

What role will you play? 

As a Full Stack Engineer, you will play a pivotal role in our development team, bridging the gap between the visual elements and the server-side infrastructure. You will be instrumental in developing full-fledged, scalable applications by combining the art of design with the science of programming. With your expertise in both front-end and back-end technologies, you will ensure the entire stack is designed and built for speed and functionality.  

Your day to day will involve designing and developing dynamic, high-quality web applications, leveraging the Node.js and python for the back end services and React/Angular for the front end. Close collaboration with UI/UX designers will be essential, allowing you to bring web designs to life while ensuring high performance and responsiveness. Additionally, you will actively participate in coding, debugging, and testing to deliver reliable solutions whilst also working closely with other developers, designers, and product managers, fostering a collaborative environment to meet project goals and deadlines effectively. 

What you offer 

• Proficiency in Typescript and a good understanding of React  
• Solid experience with the Node.js, including the ability to develop RESTful APIs 
• Experience with containerisation of service using Docker 
• Knowledge of modern authorisation mechanisms, such as JSON Web Token (JWT)  
• Familiarity with SQL databases, such as PostgreSQL 
• Experience with Kafka or other event driven tools and tech 
• Nice to have some experience integrating with LLMs through open AI, Gemini etc. 
• Nice to have exposure to AI tooling – Claude, Copilot, Cursor etc. 
• AWS experience is a nice to have 

RPA.

Must Have:

• More than 8 years of overall experience in Robotic Process Automation and ML technologies. 

• 4-5 years of direct experience in developing with UiPath/Automation Anywhere (A360), Python

• Strong Knowledge in SQL to write queries (Insert, Delete, Select , Update & Joins) and have knowledge on Stored Procedure to Execute or Modify.

• Experience on Custom / Build in Queues like Workload Management Queues.

• Certifications with other RPA software tools (e.g., Automation Anywhere, UiPath etc.) preferred

Nice to Have Skills:

Experience with business process improvement, including process mapping and design-based thinking preferred

Bachelor’s degree in computer science experience.

Design, develop, test, and optimize solutions to automate processes using automation technology including AA/UiPath.

Designs automated solutions in accordance with enterprise leading practices and design principles.

Assists in the collection and documentation of solution design requirements.

Builds and test automation processes including unit and integration testing.

Analyzes and resolves automation software issues where required.

Participates in peer review of solution designs

TECHNICAL SKILLS:

Automation Tools : UiPath, Automation Anywhere A360

Reporting Tools : SAP BO 4.2, Tableau

Databases : MS SQL Server 2010/2008, Teradata, Stored Procedures

Languages : .Net, XML, VB Scripting, Python

Platforms : Unix, Windows 10/7/XP

SDLC Methodology : Agile, Waterfall

Other Tools : MS Office, XML Editor, Jira, SharePoint, ALM, Service Now, Rally, Visual studio

Job Title: Senior Data Tester

Location : Hyderabad

Mode: Hybrid

Notice Period: Immediate Joiner

Key Responsibilities:

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

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

Job Description:

Position: Senior Data Engineer

Location: Chennai / Pune / Bangalore / Hyderabad

Working Type: WFO

Shift: UK Shift (2:00 – 11:00 PM)

Experience : 7+ years overall

Interviews: Assessment || 2 Interview rounds.

Notice Period: Immediate Joiner

Key Responsibilities

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

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

Manage large-volume ingestion and backfill operations

Implement Bronze to Silver transformation pipelines

Develop incremental load and CDC logic

Optimize Lakehouse performance and storage patterns

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

Support Dev/Test/Prod promotion processes

Required Qualifications

7+ years of data engineering experience

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

Strong experience with Fivetran or similar ELT tools

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

Proficiency in SQL, Python, and data modeling concepts

Strong understanding of Medallion architecture.

Roles & Responsibilities

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

of enterprise-wide data from diverse sources

• Build and optimize data engineering workflows using Databricks and PySpark

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

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

data models, and pipelines

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

development lifecycle

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

environments with proper change control processes

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

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

Ideal Candidate

1Strong Azure Databricks Engineer / Senior Data Engineer Profile

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

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

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

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

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

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

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

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

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

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

Work Mode: WORK FROM OFFICE

Role Descriptions:

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

Required Skills:

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

Skills: Business Analysis~ORACLE SQL

Locations: ~HYDERABAD~PUNE~

Desire candidate

• Candidate should have valid PF.

About AuxoAI:

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

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

• AI Application Development

• Data, Digital and Cloud acceleration using AI

• AI Native Product Engineering

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

Responsibilities:

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

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

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

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

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

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

Requirements :

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

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

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

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

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

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

Description:

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

Must Have Skills

• Data Analysis
• Data Governance
• Data Modeling tool

Nice to Have Skills

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

Company Name: WINIT

Location: Hyderabad

Experience: 0–2 Years

Role Overview

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

Key Responsibilities

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

Required Skills

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

About WINIT

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

Position Title : Software Engineer

Position Type: Full-Time

Department: Research & Development

Reports To: First Level Manager,

Company Background:

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

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

Job Summary :

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

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

Key Responsibilities

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

Qualifications (Education, Experience, Skills & Knowledge)

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

Key Responsibilities

Data Modeling & Power BI Development

Design, develop, and maintain high-performance Power BI dashboards and reports.

Build robust, scalable data models using **advanced DAX (Data Analysis Expressions)** to implement complex business logic, time-intelligence calculations

Optimize existing reports and data models for speed, efficiency, and scalability.

Advanced Data Extraction & Transformation

Write, optimize, and debug **complex SQL queries** (including subqueries, CTEs, window functions, and advanced joins) to extract data from various enterprise data warehouses.

Ensure data integrity and consistency between source systems and front-end reports.

Required Technical Skills & Qualifications

Must-Haves (Non-Negotiable)

Power BI & DAX: Minimum of 1–3 years of hands-on experience building Power BI solutions. Deep understanding of evaluation contexts (Filter Context vs. Row Context) and complex DAX functions (CALCULATE, FILTER, ALL, EARLIER, and time-intelligence).

Expert SQL Skills: High proficiency in writing complex, optimized SQL queries. Must be comfortable handling large datasets, writing Common Table Expressions (CTEs), utilizing window functions (RANK, LEAD/LAG, PARTITION BY), and analyzing query performance.

Nice-to-Haves

Data Modeling: Strong understanding of relational database concepts, star/snowflake schemas, and data normalization/denormalization.

Familiarity with cloud data platforms like Snowflake, Azure Synapse, or AWS Redshift.

Basic knowledge of Python for data manipulation.

Soft Skills & Core Competencies

Problem-Solving: A natural curiosity to dig into data anomalies and find the root cause of discrepancies.

Communication: Ability to explain complex technical data constraints to non-technical business users clearly.

Attention to Detail: Precision in data validation to ensure business decisions are made on 100% accurate reporting.

Job Summary

We are seeking a motivated Data Engineer with strong skills in SQL, Python, and Linux to design, build, and maintain scalable data pipelines and support data-driven decision-making. The ideal candidate should have experience working with large datasets, ETL processes, and relational databases while ensuring data quality and performance.

Key Responsibilities

• Design, develop, and maintain ETL/ELT data pipelines.
• Write optimized SQL queries, stored procedures, and database objects.
• Develop Python scripts for data extraction, transformation, and automation.
• Work in Linux environments to manage scripts, cron jobs, and system processes.
• Monitor and troubleshoot data pipeline failures.
• Ensure data integrity, consistency, and quality across systems.
• Collaborate with data analysts, software engineers, and business stakeholders.
• Optimize database performance and query execution.
• Participate in code reviews and follow best engineering practices.

Required Skills

• Strong proficiency in SQL (joins, subqueries, window functions, CTEs, indexing, query optimization).
• Good programming experience in Python.
• Hands-on experience with Linux commands and shell scripting.
• Understanding of ETL/ELT concepts and data warehousing.
• Knowledge of relational databases such as PostgreSQL, MySQL, Oracle, or SQL Server.
• Familiarity with Git for version control.
• Strong problem-solving and analytical skills.

Job Summary

We are seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. The ideal candidate should have strong expertise in SQL, Python, Linux, and modern data engineering practices to support data integration, transformation, and analytics.

Key Responsibilities

• Design, develop, and maintain ETL/ELT data pipelines.
• Write efficient and optimized SQL queries for data extraction, transformation, and reporting.
• Develop automation scripts using Python for data processing and workflow optimization.
• Work with Linux environments for deployment, monitoring, and troubleshooting.
• Ensure data quality, integrity, and reliability across data platforms.
• Collaborate with data analysts, software engineers, and business stakeholders to deliver data solutions.
• Monitor, troubleshoot, and optimize data pipelines for performance and scalability.
• Implement best practices for data security, governance, and documentation.

Required Skills

• Strong experience in Data Engineering concepts and ETL/ELT processes.
• Proficiency in SQL, including query optimization and database design.
• Strong programming skills in Python.
• Hands-on experience with Linux commands, shell scripting, and system administration basics.
• Experience with relational databases such as PostgreSQL, MySQL, SQL Server, or Oracle.
• Familiarity with Git/version control.
• Strong analytical and problem-solving skills.

Preferred Skills

• Experience with cloud platforms (AWS, Azure, or GCP).
• Knowledge of Apache Spark, Airflow, Kafka, or similar data engineering tools.
• Experience with data warehousing solutions and big data technologies.
• Understanding of CI/CD pipelines and containerization (Docker/Kubernetes).

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
• Relevant certifications in cloud or data engineering are an added advantage.

Job Overview

We are looking for an experienced QA Professional with 5–10 years of experience specializing in Pega Testing. In this role, you will design, execute, and manage testing strategies for complex, large-scale enterprise applications built on the Pegaplatform. You will ensure the seamless performance, integration, and functionality of workflows and case management systems.

Key Responsibilities

• Strategy & Planning: Define, design, and implement comprehensive test strategies, test plans, and test cases specifically tailored for Pega BPM applications.

• Functional & Rule Validation: Validate Pega rulesets, case management flows, data pages, routing logic, declarative expressions, and access groups.

• Automation Leadership: Design and maintain automated test frameworks for PegaUI and API layers using tools like Selenium, Cucumber, Tosca, or Pega Autotest.

• Defect & Defect Triaging: Track, analyze, and report defects using Jira, collaborating closely with Pega developers and Business Analysts to resolve complex issues.

• Regression & Integration Testing: Execute rigorous regression testing for Pegaplatform upgrades and test end-to-end integration with third-party APIs and databases.

• Mentorship & Quality Control: Lead a team of QA engineers, conduct test case reviews, and enforce industry-standard QA best practices.

Required Skills & Qualifications

• Pega Expertise: 4+ years of dedicated hands-on experience in testing Pega PRPC applications (Pega 8.x experience preferred).

• Certifications: Pega Certified Business Architect (PCBA), Certified System Architect (CSA), or Certified Pega QA is highly desirable.

• Testing Automation: Proven experience using automation tools (Selenium WebDriver, Tosca, Cucumber, or SoapUI/Postman for API testing) within a Pegaecosystem.

• Technical Proficiency: Strong understanding of SQL, XML, JSON, and Agile/Scrum methodologies.

• Analytical Skills: Exceptional ability to translate complex business requirements and user stories into structured test scenarios.

About the Role

We are looking for a skilled SQL Server DBA with 4–5 years of experience in SQL Server database administration, performance tuning, and enterprise data integration. The ideal candidate should have hands-on experience working with Product Lifecycle Management (PLM) systems, ERP integrations, and data bridge solutions to enable seamless data exchange between enterprise applications.

Key Responsibilities

· Administer, monitor, and maintain Microsoft SQL Server databases to ensure high availability, security, and performance.

· Design, implement, and support PLM–ERP data bridge solutions for seamless integration between Product Lifecycle Management and ERP systems.

· Develop and optimize SQL queries, stored procedures, views, triggers, and database objects.

· Monitor database performance and perform query optimization, indexing, and troubleshooting.

· Design and implement database backup, recovery, disaster recovery, and high availability strategies.

· Build and maintain ETL processes and data synchronization workflows between PLM, ERP, and other enterprise applications. 

· Collaborate with application development teams to support database design and application deployments.

· Perform database migrations, upgrades, patching, and environment maintenance.

· Ensure database security, user management, and compliance with organizational standards.

· Create and maintain technical documentation, database architecture, and operational procedures. 

Required Skills & Experience

· 4–5 years of hands-on experience as a SQL Server DBA.

· Strong expertise in Microsoft SQL Server (2016/2019/2022 or later).

· Excellent knowledge of SQL, T-SQL, Stored Procedures, Functions, Triggers, Views, and Performance Tuning.

· Experience in database backup, restore, replication, indexing, and high availability (Always On, Log Shipping, Replication).

· Hands-on experience working with Product Lifecycle Management (PLM) systems.

· Experience implementing or supporting PLM–ERP data bridge/integration solutions.

· Knowledge of ERP systems such as SAP, Oracle E-Business Suite, Microsoft Dynamics, Infor, or similar platforms.

· Experience with ETL tools and enterprise data integration.

· Strong troubleshooting and root cause analysis skills. 

Preferred Skills

· Experience with Teamcenter, Windchill, Enovia, Arena PLM, or similar PLM platforms.

· Knowledge of SSIS, SSRS, and SSAS.

· Experience with PowerShell or Python scripting for database automation.

· Exposure to Azure SQL Database or cloud-based SQL environments. 

· Understanding of manufacturing, engineering, or product development processes.

· Familiarity with CI/CD and DevOps practices. 

Educational Qualification

· Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline.

Key Competencies

· Strong analytical and problem-solving skills.

· Excellent communication and stakeholder management abilities.

· Ability to work independently in a remote environment.

· Strong attention to detail and commitment to database reliability and performance.

· Ability to manage multiple priorities in a fast-paced environment.

Automation SDET (Java + Selenium)

Experience

5 – 12 Years

Location

Bangalore | Chennai | Pune | Hyderabad | Gurgaon | Trivandrum | Bhubaneswar | Kolkata

About the Role

We are looking for a highly skilled Automation SDET with strong expertise in Java-based test automation. This role is ideal for professionals who enjoy owning automation strategy, designing robust test frameworks, and mentoring team members while remaining hands-on.

You will work closely with development, product, and DevOps teams to ensure high-quality software delivery in an Agile environment.

Key Responsibilities

• Design, develop, and maintain automation frameworks using Java and Selenium
• Perform API automation testing using Rest Assured
• Create and execute automated and manual test cases, test scripts, and test plans
• Prepare and maintain Traceability Matrix (RTM) and test documentation
• Apply BDD frameworks (Cucumber or similar) for automation scenarios
• Execute database validations using SQL queries
• Lead and mentor a medium-sized QA team while remaining hands-on
• Contribute to automation strategy, test design techniques, and best practices
• Participate actively in Agile ceremonies and collaborate across onsite–offshore teams
• Track defects and test execution using tools like ALM and JIRA
• 
  

Must-Have Skills

• 5+ years of experience in Automation Testing / SDET roles
• Strong hands-on expertise in Java and Selenium
• In-depth understanding of Core Java concepts:
• 
  
• OOP principles
• Collections Framework
• Exception Handling
• 
  
• Hands-on experience with API automation (Rest Assured)
• Strong SQL skills for backend data validation
• Experience working with BDD frameworks (Cucumber, etc.)
• Solid understanding of software QA methodologies, tools, and processes
• 
  

Leadership & Collaboration Skills

• Ability to work independently and take ownership of deliverables
• Experience leading and mentoring a QA team
• Comfortable working in an onsite–offshore delivery model
• Strong communication and stakeholder management skills
• 
  

Good to Have

• Experience with CI/CD tools (Jenkins, Git, Maven/Gradle)
• Exposure to cloud-based testing or microservices architectures
• Domain experience in BFSI, Telecom, or Retail (preferred but not mandatory)

Job Title : Data Engineer – Databricks

Experience : 6+ Years

Location : Noida / Hyderabad / Chennai / Pune / Bengaluru (Hybrid)

Shift : IST (Normal Shift)

Job Summary :

We are seeking an experienced Data Engineer with strong expertise in Databricks, Snowflake, Python, and Spark to build and optimize scalable data pipelines and support AI/ML model deployments. The ideal candidate should have experience working with cloud-based data platforms and preferably possess exposure to the Healthcare domain.

Required Skills :

• Databricks (Preferred)
• Snowflake
• Python
• Apache Spark
• SQL
• Azure Cloud
• Kubernetes
• Apache Airflow
• GitHub & CI/CD Pipelines
• AI/ML Model Deployment
• Data Analytics

Preferred :

• Experience in the Healthcare domain.
• Strong understanding of scalable data engineering architectures and best practices.

Job Title : Automation Testing Engineer

Experience : 2 to 8 Years

Location : Chennai / Hyderabad

Work Mode : Work From Office

Mandatory Skills :

Playwright, TypeScript, Test Automation, Azure DevOps, SQL, and experience with IRT (Interactive Response Technology) platforms.

Key Responsibilities :

• Develop and maintain automated test scripts for web applications.
• Execute functional and regression testing to ensure application quality.
• Collaborate with development teams and stakeholders to validate requirements and test scenarios.
• Support test planning, execution, and defect tracking using Azure DevOps or similar tools.
• Perform data validation and ensure application reliability using SQL.

Required Skills :

• Strong experience in Test Automation using Playwright and TypeScript.
• Hands-on experience with IRT (Interactive Response Technology) platforms.
• Proficiency in Azure DevOps or similar test management tools.
• Good understanding of SQL and relational databases.
• Strong analytical, communication, and stakeholder management skills.
• Experience in Clinical Trials / Life Sciences domain is preferred.

Preferred Domain Experience :

• Exposure to randomization and patient allocation workflows.
• Understanding of blinding and unblinding processes.
• Knowledge of drug dispensing and inventory management.
• Experience with clinical study setup, execution, reporting, and data validation.

Data Engineer — AI / BI

Artificial Intelligence & Business Intelligence | Data & Analytics

Who We Are:

Since our inception back in 2006, Navitas has grown to be an industry leader in the digital transformation space, and we’ve served as trusted advisors supporting our client base within the commercial, federal, and state and local markets.

What We Do:

At our very core, we’re a group of problem solvers providing our award-winning technology solutions to drive digital acceleration for our customers! With proven solutions, award-winning technologies, and a team of expert problem solvers, Navitas has consistently empowered customers to use technology as a competitive advantage and deliver cutting-edge transformative solutions.

Position Overview

We are seeking a Databricks Engineer to design, build, and operate a Data & AI platform with a strong foundation in the Medallion Architecture (raw/bronze, curated/silver, and mart/gold layers). This platform will orchestrate complex data workflows and scalable ELT pipelines to integrate data from enterprise systems such as PeopleSoft, D2L, and Salesforce, delivering high-quality, governed data for machine learning, AI/BI, and analytics at scale.

You will play a critical role in engineering the infrastructure and workflows that enable seamless data flow across the enterprise, ensure operational excellence, and provide the backbone for strategic decision-making, predictive modeling, and innovation

Responsibilities:

Data & AI Platform Engineering (Databricks-Centric):

• Design, implement, and optimize end-to-end data pipelines on Databricks, following the Medallion Architecture principles.
• Build robust and scalable ETL/ELT pipelines using Apache Spark and Delta Lake to transform raw (bronze) data into trusted curated (silver) and analytics-ready (gold) data layers.
• Operationalize Databricks Workflows for orchestration, dependency management, and pipeline automation.
• Apply schema evolution and data versioning to support agile data development.

Platform Integration & Data Ingestion:

• Connect and ingest data from enterprise systems such as PeopleSoft, D2L, and Salesforce using APIs, JDBC, or other integration frameworks.
• Implement connectors and ingestion frameworks that accommodate structured, semi-structured, and unstructured data.
• Design standardized data ingestion processes with automated error handling, retries, and alerting.

 Data Quality, Monitoring, and Governance:

• Develop data quality checks, validation rules, and anomaly detection mechanisms to ensure data integrity across all layers.
• Integrate monitoring and observability tools (e.g., Databricks metrics, Grafana) to track ETL performance, latency, and failures.
• Implement Unity Catalog or equivalent tools for centralized metadata management, data lineage, and governance policy enforcement.

Security, Privacy, and Compliance:

• Enforce data security best practices including row-level security, encryption at rest/in transit, and fine-grained access control via Unity Catalog.
• Design and implement data masking, tokenization, and anonymization for compliance with privacy regulations (e.g., GDPR, FERPA).
• Work with security teams to audit and certify compliance controls.

   AI/ML-Ready Data Foundation:

• Enable data scientists by delivering high-quality, feature-rich data sets for model training and inference.
• Support AIOps/MLOps lifecycle workflows using MLflow for experiment tracking, model registry, and deployment within Databricks.
• Collaborate with AI/ML teams to create reusable feature stores and training pipelines.

Cloud Data Architecture and Storage:

• Architect and manage data lakes on Azure Data Lake Storage (ADLS) or Amazon S3, and design ingestion pipelines to feed the bronze layer.
• Build data marts and warehousing solutions using platforms like Databricks.
• Optimize data storage and access patterns for performance and cost-efficiency.

 Documentation & Enablement:

• Maintain technical documentation, architecture diagrams, data dictionaries, and runbooks for all pipelines and components.
• Provide training and enablement sessions to internal stakeholders on the Databricks platform, Medallion Architecture, and data governance practices.
• Conduct code reviews and promote reusable patterns and frameworks across teams.

  Reporting and Accountability:

• Submit a weekly schedule of hours worked and progress reports outlining completed tasks, upcoming plans, and blockers.
• Track deliverables against roadmap milestones and communicate risks or dependencies.

Required Qualifications:

• Hands-on experience with Databricks, Delta Lake, and Apache Spark for large-scale data engineering.
• Deep understanding of ELT pipeline development, orchestration, and monitoring in cloud-native environments.
• Experience implementing Medallion Architecture (Bronze/Silver/Gold) and working with data versioning and schema enforcement in enterprise grade environments.
• Strong proficiency in SQL, Python, or Scala for data transformations and workflow logic.
• Proven experience integrating enterprise platforms (e.g., PeopleSoft, Salesforce, D2L) into centralized data platforms.
• Familiarity with data governance, lineage tracking, and metadata management tools.

Preferred Qualifications:

• Prior UMGC or USM experience preferred.
• Experience with Databricks Unity Catalog for metadata management and access control.
• Experience deploying ML models at scale using MLFlow or similar MLOps tools.
• Familiarity with cloud platforms like Azure or AWS, including storage, security, and networking aspects.
• Knowledge of data warehouse design and star/snowflake schema modeling.

Equal Employer/Veterans/Disabled

Navitas Business Consulting is an affirmative action and equal opportunity employer. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Navitas Human Resources.

Navitas is an equal opportunity employer. We provide employment and opportunities for advancement, compensation, training, and growth according to individual merit, without regard to race, color, religion, sex (including pregnancy), national origin, sexual orientation, gender identity or expression, marital status, age, genetic information, disability, veteran-status veteran or military status, or any other characteristic protected under applicable Federal, state, or local law. Our goal is for each staff member to have the opportunity to grow to the limits of their abilities and to achieve personal and organizational objectives. We will support positive programs for equal treatment of all staff and full utilization of all qualified employees at all levels within Navitas.

Job Title: Full Stack & Automation Engineer (FinTech Preferred)

Location: On-site | 6 Days/Week

Salary: ₹50,000 – ₹1,50,000/month (Based on experience)

About the Role:

Nova Orbit is looking for a highly capable technical operator who can build scalable systems, automate internal workflows, and strengthen backend infrastructure for a fast-growing finance and investment ecosystem focused on unlisted markets and institutional operations.

Key Responsibilities:

• Build and manage full stack applications for internal tools, dashboards, and business operations
• Design scalable backend architecture with strong system design, APIs, database, and security practices
• Deploy and manage cloud infrastructure across AWS / Azure
• Automate repetitive tasks across departments including operations, CRM, finance, reporting, and customer workflows
• Build workflow automation systems, integrations, bots, and process pipelines
• Improve efficiency by reducing manual processes through technology

Required Skills:

• Strong full stack development (Frontend + Backend)
• Deep backend architecture and system design expertise
• AWS / Azure cloud deployment and infrastructure management
• Proficiency in Python, Node.js, JavaScript/TypeScript, SQL
• API development, microservices, database optimization
• Automation tools like Zapier, n8n, Make, Power Automate, Selenium, or custom scripting
• Workflow design, process mapping, task automation, and RPA concepts
• DevOps, CI/CD pipelines, Docker, Git
• Strong analytical and problem-solving skills

Preferred:

• FinTech / BFSI experience (payments, investment platforms, compliance, CRM automation)
• Experience with internal business process automation across multiple departments

Ideal Candidate:

A systems-driven builder who can combine software engineering, backend scalability, cloud expertise, and workflow automation to optimize company-wide operations.

https://loopx.redstring.co.in/form/6a044e6103b64ed11120a12d

Job Title: Freelance Python Team Lead & Developer (Hyderabad-based)

Project Overview

We are a service-based IT firm seeking a Senior Python Developer (3–5 years experience) for a long-term freelance engagement. This is a unique "Player-Coach" role where you will balance high-level individual coding with the leadership of a junior intern team.

Logistics & Commitment

• Location: In-office (Hyderabad). Candidates must be local.
• Time Commitment: 3–4 hours per day, 5 days a week (approx. 20 hours/week).
• Duration: Ongoing freelance contract.

Core Responsibilities

• Team Leadership: Lead and mentor a team of interns. You will be responsible for task delegation, technical guidance, and conducting rigorous code reviews to ensure production-quality output.
• Individual Contribution: Act as the lead developer for complex backend modules, API architecture, and system integrations using Python (Django/FastAPI).
• Delivery Management: Ensure that the intern team meets project milestones and adheres to clean coding standards (PEP 8).

Requirements

• 3–5 years of professional experience in Python development.
• Proven experience in a service-based company environment.
• Strong proficiency in Django, Flask, or FastAPI and SQL/NoSQL databases.
• Excellent communication skills with a natural ability to mentor and explain technical logic to juniors.
• Availability to work from our Hyderabad office during standard business hours.

Please include your resume and a brief summary of your experience leading teams or mentoring juniors.

Position: Microsoft .NET Full Stack Developer

Experience: 4–6 Years

Open Positions: 10

Location: PAN India (Final Round – Face-to-Face Interview)

Budget: Up to 15 LPA

Notice Period: Immediate joiners preferred

Key Responsibilities:

· Work on highly distributed and scalable system architecture

· Design, develop, test, and maintain high-quality software solutions

· Ensure performance, security, and maintainability of applications

· Collaborate with cross-functional teams and stakeholders

· Perform system testing and resolve technical issues

Required Skills:

· Strong experience in ASP.NET, C#, .NET Core, MVC

· Hands-on experience with SQL Server / PostgreSQL

· Experience in Angular / React (Frontend technologies)

· Knowledge of microservices architecture & RESTful APIs

· Familiarity with CQRS pattern

· Exposure to AWS / Docker / Kubernetes

· Experience with CI/CD pipelines (Azure DevOps, Jenkins)

· Knowledge of Node.js is an added advantage

· Understanding of Agile methodology

· Good exposure to cybersecurity and compliance

Technology Stack:

· Microsoft .NET technologies (primary)

· Cloud platforms: AWS (SaaS/PaaS/IaaS)

· Databases: MSSQL, MongoDB, PostgreSQL

· Caching: Redis, Memcached

· Messaging queues: RabbitMQ, Kafka, SQS

Role & Responsibilities

·      Collect, clean, and analyze large structured and unstructured datasets from multiple internal and external sources

·      Conduct thorough exploratory data analysis (EDA) to understand data distributions, relationships, outliers, and missing value patterns

·      Profile and audit datasets to assess data quality, completeness, consistency, and fitness for modeling

·      Investigate and document data lineage — understanding where data originates, how it flows, and how it transforms across systems

·      Identify and resolve data anomalies, inconsistencies, and integrity issues in collaboration with data engineering teams

·      Develop a deep understanding of the business domain and the underlying data that represents it — including what each field means, how it is captured, and what its limitations are

·      Translate raw, messy, real-world data into clean, well-understood analytical datasets ready for modeling and reporting

·      Apply statistical techniques such as correlation analysis, hypothesis testing, variance analysis, and distribution fitting to extract meaningful signals from noise

·      Build and deploy machine learning models including regression, classification, clustering, NLP, and time-series analysis

·      Design, evaluate, and analyze A/B experiments and controlled tests using causal inference techniques

·      Develop data-driven recommendations backed by rigorous statistical reasoning

·      Write clean, production-ready code in Python or R

·      Collaborate with data engineers to build reliable data pipelines and feature stores

·      Deploy and monitor ML models using MLOps best practices on cloud infrastructure

·      Build dashboards and self-serve analytics tools to support stakeholder decision-making

Data Understanding & Analysis Skills

·      Strong ability to interrogate unfamiliar datasets and quickly develop a working understanding of their structure, semantics, and quirks

·      Experience working with messy, incomplete, or poorly documented real-world data

·      Skilled in identifying hidden patterns, trends, seasonality, and anomalies through visual and statistical exploration

·      Ability to ask the right questions about data — challenging assumptions, validating sources, and understanding the context in which data was collected

·      Proficiency in data profiling, descriptive statistics, and summary reporting to communicate the shape and health of a dataset

·      Experience creating data dictionaries, documentation, and data quality reports to support team-wide data understanding

·      Comfort working across structured (relational tables), semi-structured (JSON, XML), and unstructured (text, logs, sensor streams) data formats

Technical Skills Required

·      Proficiency in Python (pandas, NumPy, scikit-learn, PyTorch or TensorFlow) and/or R

·      Strong SQL skills with hands-on experience in DB2 and SQL Server

·      Experience with Databricks for large-scale data processing, feature engineering, and model training

·      Familiarity with cloud platforms: Azure or AWS

·      Experience with data warehouses and big data platforms (Databricks, Snowflake, or Redshift)

·      Knowledge of MLOps tools such as MLflow, Kubeflow, or Airflow

·      Experience with streaming data technologies such as Kafka or Spark

·      Solid foundation in probability, statistics, linear algebra, and experimental design

Nice to Have

·      Experience with deep learning, NLP, computer vision, or Bayesian methods

·      Familiarity with real-time or streaming data pipelines

·      Open-source contributions or published research

The AI Data Engineer will be responsible for designing, building, and operating scalable data pipelines and curated data assets that power machine learning, generative AI, and intelligent automation solutions in an SLA-driven managed services environment. This role focuses on data ingestion, transformation, governance, and operational reliability across cloud and hybrid environments enabling use cases such as knowledge retrieval (RAG), conversational AI, predictive analytics, and AI-assisted service management. The ideal candidate combines strong data engineering fundamentals with an understanding of AI workload requirements, including quality, lineage, privacy, and performance. 

Key Responsibilities 

•Design, build, and operate production-grade data pipelines that support AI/ML and generative AI workloads in managed services environments 

•Develop curated, analytics-ready datasets and data products to enable model training, grounding, feature generation, and AI search/retrieval 

•Implement data ingestion patterns for structured and unstructured sources (APIs, databases, files, event streams, documents) 

•Build and maintain transformation workflows with strong testing and validation 

•Enable Retrieval-Augmented Generation (RAG) by preparing document corpora, chunking strategies, metadata enrichment, and vector indexing patterns 

•Integrate data pipelines with application services 

•Support ITSM and enterprise workflow data needs, including ServiceNow data integration, CMDB/incident data quality improvements, and automation enablement 

•Implement observability for data pipelines (monitoring, alerting, SLAs/SLOs) and perform root cause analysis for pipeline failures or data quality incidents 

•Apply data governance and security best practices 

•Collaborate with ML Engineers, DevOps/SRE, and solution architects to operationalize end-to-end AI solutions 

•Contribute to reusable patterns, templates, and standards within the Bell Techlogix AI Center of Excellence 

Required Qualifications 

•Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent practical experience 

•5+ years of experience in data engineering, analytics engineering, or platform data operations 

•Strong proficiency in SQL and Python; experience with data modeling and dimensional concepts 

•Hands-on experience with Azure data services (e.g., Data Factory, Synapse, Databricks, Storage, Key Vault) or equivalent cloud tooling 

•Experience building reliable pipelines with scheduling, dependency management, and automated testing/validation 

•Experience supporting production data platforms with incident management, troubleshooting, and root cause analysis 

•Understanding of data security, privacy, and governance principles in enterprise environments 

Preferred Qualifications 

•Experience enabling AI/ML workloads: feature engineering, training data preparation, and integration with Azure Machine Learning 

•Experience with unstructured data processing for generative AI 

•Familiarity with vector databases or vector search and RAG patterns 

•Experience with event streaming and messaging 

•Familiarity with ServiceNow data model and integration patterns (Table API, export, CMDB/ITSM reporting) 

•Relevant certifications (Microsoft Azure Data Engineer, Azure AI Engineer, Databricks) 

Data Quality Engineer

Engineering - Hyderabad, Telangana

About Gradera — Digital Twin & Physical AI Platform 

At Gradera, we are building a next-generation Digital Twin and Physical AI platform that enables enterprises to model, simulate, and optimize complex real-world systems. Our work brings together strategy, architecture, data, simulation, and experience design to power decision-making across large-scale operational environments such as manufacturing, logistics, and supply chain networks. 

This platform-led initiative applies AI-native execution, advanced simulation, and governed orchestration to help organizations test scenarios, predict outcomes, and continuously improve performance. We operate with an enterprise-first mindset prioritizing reliability, transparency, and measurable business impact as we build intelligent systems that scale beyond a single industry or use case. 

Data Quality Engineer 

Overview 

We are seeking a detail-oriented Data Quality Engineer to ensure the integrity, accuracy, and reliability of data powering our digital twin and AI platforms. You will design and implement data quality frameworks, build automated validation pipelines, and establish quality metrics that enable trusted, simulation-ready data products. This role is critical to ensuring that operational decisions and ML models are built on a foundation of high-quality, governed data. 

Our core data quality stack includes: 

Data Quality Frameworks 

• Delta Live Tables expectations for declarative quality enforcement 
• Great Expectations for comprehensive data validation 
• Databricks data profiling and quality monitoring 

Platform & Tools 

• Databricks SQL and PySpark for quality checks at scale 
• Unity Catalog for lineage tracking and governance compliance 
• Python for custom validation logic and anomaly detection 

Observability 

• Quality metrics dashboards and alerting 
• Data profiling and statistical analysis 
• Anomaly detection and drift monitoring 

Key Responsibilities 

• Design and implement data quality frameworks using Delta Live Tables expectations and Great Expectations 
• Build automated data validation pipelines that enforce quality standards at ingestion and transformation stages 
• Develop data profiling processes to understand data distributions, patterns, and anomalies 
• Define and track data quality metrics (completeness, accuracy, consistency, timeliness, validity) 
• Implement anomaly detection mechanisms to identify data drift and quality degradation 
• Create quality dashboards and alerting systems for proactive issue identification 
• Collaborate with data engineers to embed quality checks into ETL/ELT pipelines 
• Partner with data architects to establish data quality standards and governance policies 
• Investigate and perform root cause analysis for data quality issues 
• Document data quality rules, thresholds, and remediation procedures 
• Support data certification processes for simulation-ready and ML-ready datasets 
• Drive continuous improvement in data quality practices and tooling 

Preferred Qualifications 

• 6+ years of experience in data engineering or data quality roles, with 3+ years focused on data quality 
• Track record of implementing enterprise-scale data quality frameworks 
• Experience with Lakehouse architectures (Delta Lake, Iceberg) 
• Familiarity with real-time data quality monitoring for streaming pipelines 
• Experience working in agile, cross-functional teams 

Highly Desirable 

• Experience with data quality for digital twin or simulation platforms 
• Familiarity with operational state data validation and temporal consistency checks 
• Experience with graph data quality validation (Neo4j or similar) 
• Exposure to ML data quality (feature validation, training data quality) 
• Experience with data observability platforms 
• Exposure to industrial domains such as Manufacturing, Logistics, or Transportation is a plus 

Location: Hyderabad, Telangana 

Department: Engineering 

Employment Type: Full-Time 

Role & Responsibilities:

We are looking for a strong Data Engineer to join our growing team. The ideal candidate brings solid ETL fundamentals, hands-on pipeline experience, and cloud platform proficiency — with a preference for GCP / BigQuery expertise.

Responsibilities:

• Design, build, and maintain scalable data pipelines and ETL/ELT workflows
• Work with Dataform or DBT to implement transformation logic and data models
• Develop and optimize data solutions on GCP (BigQuery, GCS) or AWS/Azure
• Support data migration initiatives and data mesh architecture patterns
• Collaborate with analysts, scientists, and business stakeholders to deliver reliable data products
• Apply data governance and quality best practices across the data lifecycle
• Troubleshoot pipeline issues and drive proactive monitoring and resolution

Ideal Candidate:

• Strong Data Engineer Profile
• Must have 6+ years of hands-on experience in Data Engineering, with strong ownership of end-to-end data pipeline development.
• Must have strong experience in ETL/ELT pipeline design, transformation logic, and data workflow orchestration.
• Must have hands-on experience with any one of the following: Dataform, dbt, or BigQuery, with practical exposure to data transformation, modeling, or cloud data warehousing.
• Must have working experience on any cloud platform: GCP (preferred), AWS, or Azure, including object storage (GCS, S3, ADLS).
• Must have strong SQL skills with experience in writing complex queries and optimizing performance.
• Must have programming experience in Python and/or SQL for data processing.
• Must have experience in building and maintaining scalable data pipelines and troubleshooting data issues.
• Exposure to data migration projects and/or data mesh architecture concepts.
• Experience with Spark / PySpark or large-scale data processing frameworks.
• Experience working in product-based companies or data-driven environments.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

NOTE:

• There will be an interview drive scheduled on 28th and 29th March 2026, and if shortlisted, they will be expected to be available on these Interview dates. Only Immediate joiners are considered.