Top SQL Jobs in Pune

Design and scale end-to-end data architecture and real-time/batch pipelines to unify product telemetry, CRM, and billing into a single source of truth. Build data foundations for ML (feature pipelines, training datasets, low-latency scoring), define telemetry/event contracts, implement data quality, monitoring, governance, and enable self-service analytics.

The A2R Subject Matter Expert oversees Account to Report processes, provides training and support for operations, and identifies process improvements.

Lead a remote India-based Technical Support team for Twilio's Voice Segment Platform: manage performance, coaching, escalations, incident RCA, process improvements, hiring and workforce planning, and cross-functional collaboration to improve customer satisfaction and operational KPIs.

Lead technical delivery of cloud-based education products, resolve technical blockers, review code and approve PRs, support tech lead, design performant architectures, work in React and .NET on Azure, maintain CI/CD pipelines, collaborate with distributed teams and Product Owners in Agile/Scrum, and drive continuous improvement and documentation.

Design, develop, and maintain backend applications and RESTful APIs using C# and .NET Core. Build and maintain microservices, apply software design patterns and SOLID principles, write unit tests, and ensure code quality. Work with SQL databases and Entity Framework, and follow best practices for scalable, maintainable code.

Lead Software Engineer responsible for designing high-performance Java applications, mentoring developers, and implementing DevOps practices while optimizing software delivery pipelines.

Design, develop, maintain, and support data capabilities for Performance Engineering products. Collaborate with product managers, designers, and developers to define requirements and specifications. Optimize database schemas and queries, evaluate and adopt new data technologies, and contribute technical leadership toward AspenTech's Asset Optimization strategy.

The CRM Developer & Data Analyst manages MS Dynamics CRM, develops Power Platform solutions, and generates Power BI reports to enhance commercial objectives and ensure data quality and compliance.

Design, develop, and execute testing strategies while collaborating with teams to resolve defects and improve testing processes, ensuring software quality.

Design, build and maintain scalable data pipelines, data warehouses and data lakes using AWS and Snowflake. Develop data processing algorithms, support ML model deployment, ensure data governance and security, lead or guide a team, and collaborate with stakeholders to translate requirements into ETL/ELT solutions.

Design, develop and maintain management reports, dashboards and automated reporting pipelines. Build curated datasets via SQL and data modelling, perform exploratory analysis and cleansing, implement BI semantic models and DAX measures, ensure observability and controls, and engage stakeholders. Lead or coach team members and influence decision-making across the business.

The Infrastructure Engineer will design and maintain infrastructure platforms, focusing on performance, security, and reliability, while collaborating cross-functionally and automating processes.

Responsible for leading QA efforts for the Large Holdings application in compliance business, ensuring high-quality software through Agile methodologies, cross-functional collaboration, and test strategy definition.

Own the Events & Transcripts content data pipeline: define requirements, refine collection and deduplication tools with engineering, ensure data integrity and methodology, launch content to market, produce documentation and training, and deliver competitive intelligence to evolve product vision.

The Customer Services Analyst will support customer queries, troubleshoot system failures, monitor data quality, and enhance customer satisfaction through effective communication and problem-solving.

The Senior Customer Services Analyst will oversee a team, troubleshoot system failures, maintain data connectors, support release testing, and ensure process documentation is current.

Design and deploy predictive models and recommendation engines for B2B distributor transaction data; clean and transform ERP-sourced datasets; produce dashboards and account-level insights to drive sales strategy; present findings to business leaders and enable scalable analytics solutions for commercial growth.

Install, configure, maintain, monitor, and troubleshoot databases; write and optimize SQL and application performance; manage backups, restores, and disaster recovery; participate in production support, incident management, DevOps collaboration, and log/error monitoring.

Maintain and support Majesco Policy product Oracle codebase, design and implement database packages/procedures, perform database scripting, unit testing, code review, performance tuning, QC support, defect tracking, and provide functional expertise on policy modules.

Lead architecture and hands-on delivery of production agentic AI solutions: design reusable accelerators, integrate LLMs and retrieval (RAG), ensure reliability, security, observability, and guardrails, collaborate with cross-functional teams, mentor engineers, and contribute IP, patterns, and production best practices across clients.

Design, implement, and scale Adobe Experience Platform and Analytics solutions; manage tagging, data schemas, and QA for web analytics; enable self-service reporting, measurement governance, and cross-functional analytics to support marketing initiatives and data-driven decision making.

Design, architect, and build large-scale data platforms (data lakes, data marts). Develop databases, ETL pipelines, and data models. Work with SQL, BigQuery/GCP, Hadoop/Spark, and reporting tools (Looker/Power BI). Collaborate with stakeholders, solve data problems, and optionally implement event-driven streaming (Kafka, Flink) and Postgres.

Lead end-to-end statistical programming for ADaM datasets and TLFs; implement, validate, and maintain CDISC SDTM/ADaM standards; support regulatory submissions (ISS/ISE) and RTQs; develop reusable macros/functions and metadata specifications; work with RWD, biomarker data, external control arms, survival analysis, and propensity score methods.

Lead design and implementation of IDMC-based data integration solutions. Build and optimize ETL/ELT pipelines, integrate SCADA/IoT/ERP/market data, enforce data quality and governance, mentor developers, monitor production pipelines, troubleshoot issues, and evaluate new IDMC features to support analytics and regulatory needs.

Lead design and ownership of certified data models, semantic layers, and analytics products. Partner with cross-functional stakeholders to define trusted metrics, implement transformations, automated testing, monitoring, and documentation. Improve analytics platform architecture, governance, and adoption while using AI-assisted tools to accelerate SQL development and data product delivery.