Top SQL Jobs in Pune

Design, build, and maintain data pipelines, warehouses and lakes; implement ETL and processing algorithms; ensure data security and observability; collaborate with data scientists to deploy ML models; lead or coach team members and influence cross-functional decisions.

Lead design and implementation of automated test frameworks for complex web applications. Create and maintain UI and API tests (Selenium/Playwright), integrate suites into CI/CD, perform root-cause analysis, mentor junior engineers, collaborate with product and development teams, and drive automation strategy and quality improvements using AI-assisted tools.

Provide end-to-end support for the EnCore ERP platform focused on plant-floor workflows, production scheduling, inventory, and order-to-cash. Troubleshoot application, database, and system issues using SQL, logs, and diagnostics; own cases, create KB content, coordinate cross-team escalations, and assist with testing, upgrades, and off-hours incident support for customers in North America and Europe.

The Senior Business Analyst collects, analyzes, and presents data to support business decision-making, reporting, and strategic planning within the organization.

Triage and resolve Master Data Management (Party, Risk, Reference) issues in Stibo STEP, run targeted data-cleansing sprints, monitor data quality dashboards, support releases/UAT, and maintain documentation and playbooks to prevent recurring data issues.

Audit claim and denial work for accuracy across human and AI outputs, build and maintain QA scorecards and dashboards, design rule-based quality checks, identify root causes and coach billing teams, and surface reproducible AI error patterns to Product and Engineering.

Design, build, and maintain manual and automated end-to-end tests for front-end and back-end APIs. Use Cucumber BDD, Postman, Jenkins, and SQL to validate functionality, data integrity, and performance across cloud-native and big-data environments (GCP/BigQuery). Integrate tests into CI/CD pipelines, track defects in Jira, and collaborate with cross-functional Agile teams to ensure continuous quality.

The Data QA Engineer will apply the testing life cycle, create QA documentation including test plans, cases, summary reports, and traceability matrices, and validate data using SQL. Responsibilities include testing data warehouse and modeled data, using reporting tools, executing test cases with appropriate test data, supporting UAT, analyzing results, and communicating effectively. The role is remote and requires four hours of overlap with EST working hours.

Manage multilingual data collection and Large Language Model evaluation projects, ensuring quality assurance and effective global team coordination.

Install, configure, upgrade, and maintain Windows Server applications across SIT/UAT/PROD/DR. Manage Microsoft SQL Server (DB/user management, tuning, scripts), IIS deployments, MSMQ and integration components. Handle service accounts, Active Directory, firewall rules, SFTP connectivity. Produce installation guides, migration runbooks, and technical documentation. Troubleshoot performance and connectivity issues and communicate with clients.

Design, implement, and maintain Adobe Experience Platform solutions including XDM schemas, data ingestion pipelines, identity resolution, RT-CDP and Journey Optimizer integrations to enable segmentation, personalization, audience activation, and platform governance.

Develop, test, and deploy Java/Scala microservices for supply-chain-finance modules. Build Spark batch/streaming jobs, design Kafka event pipelines, integrate bank/ERP systems via Talend/REST, and produce Jasper reports. Maintain Kubernetes deployments, ensure ≥80% unit-test coverage, troubleshoot via Elasticsearch and Prometheus/Grafana.

Design, build, test, and operate Java/Scala microservices and Spark batch/streaming jobs for invoice processing, funder allocation, settlement and reporting. Implement Kafka event pipelines, integrate bank/ERP connectors, create Jasper reports, maintain Kubernetes manifests, and troubleshoot production using Elasticsearch and Prometheus/Grafana within Agile teams.

Lead design, build, and deployment of scalable machine learning models using Python, SQL, and ML/DL frameworks. Process and train models on large datasets with Spark/Databricks/Hadoop, automate pipelines with Airflow and AWS EMR, and integrate models into AWS cloud applications. Drive end-to-end experiments, optimize pipelines and queries, and deliver production-grade, high-impact data science solutions.

Analyze and investigate surveillance alerts to detect and prevent market misconduct. Design and enhance surveillance models, perform ad-hoc trading reviews, escalate concerns to stakeholders, summarize findings for Legal and Compliance, and monitor regulatory and market changes to improve coverage.

The IT Applications Analyst Principal leads the design and enhancement of Blue Yonder WMS solutions, ensuring reliability and performance in distribution centers while mentoring junior staff.

Lead delivery of data and digital consulting services: define deliverables, engage senior stakeholders, manage small teams, design scalable data pipelines, implement dashboards and analytics, ensure data quality and governance, and drive digital transformation using cloud, BI, and automation tools.

The Power BI Developer will connect with business stakeholders, analyze data, recommend solutions, and act as a bridge between business and tech teams, focusing on data modeling and visualization best practices.

The Tableau Developer will create and manage BI solutions, conduct data analysis, improve systems, troubleshoot issues, and develop database queries.

The Bigdata Engineer will design and develop ETL/Hadoop and analytics components, ensuring performance optimization and adherence to architectural standards, while managing distributed computing tasks and data ingestion workflows.

We are looking for a Data Engineer with skills in Python, SQL, and Azure technologies to develop Big Data applications. Responsibilities include working with Spark and Docker to handle large scale data processing and analytics.

Lead the development of analytics systems and predictive models, manage a team, preprocess data, analyze trends, and present findings.

The Big Data Engineer will support existing applications and work on new design and implementation requirements, utilizing big data technologies and tools.

The Data Engineer role involves analyzing raw data, building data systems, conducting complex analyses, and enhancing data quality by collaborating with data scientists and architects.

The ETL Developer is responsible for creating ETL packages, managing SQL databases, performance tuning, and automating data processes while ensuring data integrity and quality.