Top SQL Jobs in Pune

Own the day-to-day Amazon FBA program, including replenishment, shipment management, product onboarding, Merchant VINE launches, pricing, performance reporting, and inventory health. Develop scalable workflows and SOPs, resolve fulfillment issues, monitor Amazon policies and fees, and serve as the internal FBA subject matter expert while partnering with Channel, Supply Chain, and Finance teams.

Lead delivery of cloud data platform solutions: design and build pipelines on Snowflake/Databricks using SQL, PySpark and ETL tools, implement CI/CD, work client-facing to run workshops, mentor junior staff, and identify business value.

Lead hands-on quality engineering for analytics, dashboards, KPIs, ETL/ELT pipelines, APIs, and application functionality. Validate data across source systems, transformations, warehouses, and reporting layers using complex SQL queries. Build test automation, integrate quality checks into CI/CD, troubleshoot discrepancies, perform root-cause analysis, and mentor Quality Engineers. Daily use of AI-assisted engineering tools such as Cursor or Claude is mandatory.

Lead engineering teams to deliver high-quality software by providing technical guidance, mentoring, overseeing delivery timelines, improving processes and tooling, enforcing standards, and collaborating with product and stakeholders. Drive DevOps/CICD, cloud, containerization, IaC, code quality and automation practices within the Mortgages digital domain.

Lead Java and cloud modernization development across distributed systems, designing secure, reliable applications and infrastructure. Responsibilities include solution architecture, quality coding, troubleshooting, CI/CD implementation, infrastructure automation with Terraform, Docker and Kubernetes deployment, Agile collaboration, technical leadership, and support for application lifecycle activities. The role requires extensive Java, Spring, microservices, cloud, database, DevOps, security, and web services expertise.

Design and implement scalable data models, ETL/ELT pipelines, analytics infrastructure, and backend services. Serve as the team’s data technical expert, advise product and development teams on instrumentation and reporting, establish governance and access controls, and document architecture and data definitions. Build data products that support internal and customer decision-making while collaborating across engineering and business teams. Apply modern AI tools and patterns to improve development velocity and data capabilities.

Supports a business-critical warehouse management system in a 24x7 environment. Responsibilities include application maintenance, upgrades, incident resolution, infrastructure and database administration, SQL performance optimization, monitoring, integrations, change and release management, vendor coordination, SOX compliance, disaster recovery testing, documentation, and continuous service improvement.

Provides 24x7 production and application support for a business-critical warehouse management system. Responsibilities include monitoring, incident resolution, troubleshooting, SQL and database support, application maintenance, upgrades, release testing, infrastructure coordination, documentation, SOX compliance, and disaster recovery testing. The role collaborates with infrastructure, networking, cybersecurity, SAP, middleware, database, and vendor teams to maintain application availability, security, and performance.

Design and deliver scalable AWS data platforms, including cloud data lakes, warehouses, batch and streaming pipelines, and SQL- and Python-based transformations. Build reliable, fault-tolerant data workflows using AWS services, Spark, and PySpark. Own solutions from development through production support, including performance tuning, cost optimization, troubleshooting, security, and compliance. Collaborate with architects, clients, product owners, DevOps, QA, and global stakeholders while contributing to technical design reviews and engineering best practices.

Design and develop scalable AWS data platforms, data lakes, warehouses, and batch or streaming pipelines. Build SQL and Python-based transformations using Spark and AWS services, optimize performance and costs, troubleshoot production issues, and ensure security, reliability, and scalability. Own delivery from development through production support while collaborating with architects, DevOps, QA, clients, and business stakeholders. Contribute to technical design reviews, coding standards, documentation, and continuous improvement.

Owns quality and execution of Live Network Intervention activities for Nokia customers. Reviews and approves plans, procedures, scripts, artifacts, and network-impact KPIs; supervises delivery teams during maintenance windows; manages incidents and troubleshooting; contributes to automation and lessons learned. Requires extensive 4G/5G mobile core and IMS expertise, solution architecture experience, cloud and Kubernetes proficiency, networking protocol knowledge, and strong understanding of telecom standards and platforms.

Owns quality and execution of Live Network Interventions for telecom customers. Reviews and approves intervention plans, procedures, scripts, KPIs, and technical artifacts; supervises delivery teams, manages incidents, leads troubleshooting, and contributes to automation. The role requires extensive 4G/5G Mobile Core and IMS expertise, solution-level architecture knowledge, cloud and Kubernetes proficiency, protocol experience, and familiarity with telecom standards and databases.

Develop and operate backend systems using Java, Python, AWS, microservices, databases, queues, and event-driven architectures. Responsibilities include designing scalable services, integrating third-party APIs, improving performance and observability, managing production Docker deployments, conducting incident reviews, writing architecture documentation, mentoring engineers, and owning systems through launch, on-call, and ongoing optimization. The role also requires daily use and review of AI-assisted coding tools.

Gather and document business and functional requirements for card and payment solutions. Collaborate with stakeholders, product owners, engineering, QA, and processors across the SDLC. Define user stories, process flows, acceptance criteria, and technical specifications; analyze impacts and dependencies; support UAT, integration testing, defect triage, releases, and production issues. Apply expertise in card processing, payment networks, ISO 8583, tokenization, digital wallets, chargebacks, reconciliation, and regulatory compliance.

Build AI-powered applications and agentic workflows using LLMs, RAG pipelines, embeddings, APIs, and structured and unstructured data. Develop document ingestion and semantic search systems, evaluate model outputs, improve reliability and performance, and integrate AI capabilities into backend product workflows. Collaborate with engineering and product teams to solve customer problems, experiment with emerging AI techniques, and deliver production-oriented solutions.

Support, maintain, troubleshoot, and optimize production Databricks applications, Spark jobs, SQL queries, Delta Lake pipelines, clusters, workflows, and workspace configurations. Implement data quality checks, logging, alerting, governance, security, and cost-management practices. Collaborate on enhancements and bug fixes, reduce technical debt, document operational processes, and participate in EST-aligned support rotations.

Develop LabVIEW-based test, measurement, data acquisition, traceability, and diagnostic applications for automated automotive machines. Integrate PLCs, instruments, NI DAQ devices, CAN/LIN systems, scanners, databases, and MES platforms. Create test sequences, operator interfaces, reports, and data logging solutions; troubleshoot hardware, software, and communication issues; and support machine validation, commissioning, and customer acceptance. Maintain documentation, source code, and version control while collaborating with Controls, Electrical, and Mechanical engineering teams.

Develop and maintain interactive Power BI dashboards and reports for marketing effectiveness. Gather stakeholder requirements, define reporting best practices, perform data analysis, and deliver actionable insights. Serve as the reporting subject matter expert, coordinate with internal and external stakeholders, support client presentations, and oversee report design, development, deployment, maintenance, security, and refresh processes.

Develop and maintain advanced Power BI dashboards and reports for marketing analytics clients. Gather stakeholder requirements, define reporting solutions, transform and model data, implement Power BI Service features, and deliver actionable insights. Serve as the reporting subject matter expert, provide best-practice guidance, collaborate with data teams, support client presentations, and ensure reporting projects meet goals and milestones.

Leads complex enterprise integrations across Ivalua, ERP, HR, finance, logistics, and third-party systems. Responsibilities include end-to-end integration design, hands-on development, API and middleware implementation, performance optimization, troubleshooting, technical documentation, testing standards, customer workshops, pre-sales support, and mentoring. The role serves as a senior technical escalation point and helps establish reusable integration patterns, quality standards, and delivery practices across Professional Services projects.

Design, build and maintain data pipelines, warehouses and lakes. Implement ETL processes, data models and processing algorithms. Ensure data accuracy, security and accessibility. Collaborate with data scientists, lead teams or projects, advise stakeholders, and drive risk controls and governance.

Business Analyst focused on data engineering and analytics, responsible for requirements gathering, stakeholder management, SQL analysis, data profiling, quality validation, reconciliation, reporting, and documentation. The role requires understanding ETL/ELT, pipelines, data warehousing, data modeling, databases, and Agile delivery. Experience with Python, PySpark, Airflow, cloud data platforms, APIs, and AI/ML data use cases is advantageous.

Design and deliver scalable Generative AI solutions using LLMs, RAG, AI agents, vector databases, and multimodal models. Lead cloud, MLOps, security, governance, and architecture strategies across AWS, Azure, and Google Cloud. Translate business needs into technical solutions, support client workshops and pre-sales, present strategies to executives, and mentor data science, ML engineering, and software teams.

Leads global people reporting, metrics governance, data quality, semantic modeling, and HR-Finance reconciliation. Owns executive reporting, self-service analytics, report rationalization, privacy controls, lineage, and historical workforce data integrity. Partners with HRIS, IT, Finance, Analytics, and AI teams while leading distributed teams and establishing enterprise standards for governed people data.

Leads advanced data analysis, develops dashboards, KPIs, and analytical models, and translates business problems into data-driven solutions. Works with complex datasets using Databricks, SQL, Python, BI tools, and cloud data platforms. Partners with engineering and governance teams, promotes analytics standards, mentors analysts, and communicates insights to stakeholders. Supports strategic decisions through descriptive, predictive, and prescriptive analytics.