Top SQL Jobs in Pune

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.

The Supportability Engineer 3 will advocate for customer needs during product design, analyze support data, and ensure product readiness for launches by collaborating with R&D teams.

Lead design and delivery of Physical Identity and Access Management (PIAM) solutions for enterprise customers. Own technical relationships, gather requirements, architect integrations (SQL Server, Active Directory, web services, access control platforms), troubleshoot complex issues, and mentor junior team members while managing scope and timelines.

Provide L1/L2 production support and manage ticketing, monitoring, releases, deployments and DB/ETL issues. Develop automation, perform application upgrades, onboard new applications, and maintain operational runbooks and SOPs.

Lead ETL/data test efforts: design detailed test plans, review test cases/SQL, load and validate data, develop ETL automation and frameworks, execute tests, manage defects, coordinate releases, maintain QA artifacts, and report QA metrics.

Lead architecture, design, build, and maintain scalable full-stack systems. Collaborate with cross-functional teams, drive best practices, write clean test-covered code, participate in reviews, troubleshoot issues, and adopt new technologies to improve analytical SaaS solutions.

Build and maintain end-to-end data pipelines using PySpark and SQL on Databricks/Delta. Establish data modeling and pipeline best practices, create AI-ready analytical datasets, troubleshoot pipeline issues, and collaborate with stakeholders to embed business logic and optimize reliability, efficiency, and performance.

Customer-facing Deployment Engineer responsible for installing, configuring, upgrading, and supporting Cellebrite solutions across on-prem, cloud, and hybrid environments. Performs pre/post deployment validation, troubleshooting, automation with IaC, documentation, user training, incident response, system upgrades, and works closely with engineering, product, sales, and customer success. Supports India/APAC customers with up to 50% travel.

Design, develop, and operate customer-data solutions using Adobe Experience Platform and Adobe Journey Optimizer. Build and manage XDM schemas, datasets, identity resolution, audiences, and data ingestion pipelines. Create SQL/Data Distiller queries for enrichment and reporting, configure audience activation (including Adobe Campaign Classic v8), enforce consent/privacy controls, manage sandbox promotion and deployments, and collaborate across teams to document and transfer knowledge in an Agile environment.

Design, develop, test, and support enterprise financial application components in Oracle Fusion, integrate data flows with Zuora, translate accounting requirements into technical specs, support SIT/UAT, monitor system health, debug integrations, and perform root-cause analysis during critical financial periods.

Design, develop, and deploy AI-powered business solutions on the Microsoft stack (Azure AI Services, Azure OpenAI, Copilot). Build prompts, copilots, RAG workflows, and integrate AI with Power Platform, Microsoft 365, SharePoint, and Teams. Support ML model development, testing, deployment, and production support while following secure coding and engineering best practices.

Design, develop, and maintain RESTful APIs and microservices using Java Spring Boot. Collaborate with product, design, and engineering teams, apply secure coding and unit testing practices, optimize database interactions with Hibernate/JPA and Oracle SQL, and contribute to CI/CD and infrastructure improvements to deliver scalable, secure solutions.

Develop and support cloud-based school administration products using ReactJS, .NET/C#, and Azure. Resolve technical blockers, contribute to architecture, review code, manage CI/CD and deployments, support Windows Services, and collaborate with distributed Agile teams to deliver features and improve delivery quality.

The Sr. Software Engineer will own the lifecycle of platform services, designing and implementing backend services in Go, integrating with SaaS APIs, and collaborating on architectural decisions.

Design, build, and maintain responsive full-stack web applications. Implement front-end interfaces from Figma using React/TypeScript and modern CSS. Develop secure back-end services and REST APIs with Node.js or Python. Manage SQL and NoSQL databases, containerize applications with Docker, orchestrate with Kubernetes, deploy on AWS/Azure, and integrate CI/CD. Perform unit/integration testing, optimize performance, and document technical designs while collaborating with product, design, and engineering teams.

Develop, enhance, and maintain Python backend services and REST APIs, perform basic-to-moderate UI changes with Angular/React, debug and improve existing code, ensure testing and deployments, and communicate directly with clients to own tasks end-to-end.

Develop, test, and maintain high-performance Python backend applications. Build and consume RESTful APIs, work with SQL/NoSQL databases, process data, and implement/optimize machine learning models for production. Collaborate with cross-functional teams, write clean scalable code, and troubleshoot/debug applications.

Develop, own, and operate backend services in Go; design and implement RESTful APIs and microservices; ensure reliability via monitoring, alerting, and on-call rotations; optimize performance and security; troubleshoot code, infrastructure, and third-party integrations; collaborate in an agile team.

Develop and maintain scalable Python/Django backends integrated with LLMs and AI workflows. Implement APIs, data pipelines, and Agentic AI orchestration. Collaborate with product and ML teams to deploy, optimize, and ensure reliability of AI-driven applications.

Lead architecture and delivery of scalable, secure cloud-native solutions (AWS/GCP/Firebase). Define technical blueprints, run PoCs, lead multi-country deployments, integrate CRM/ERP/APIs/payment systems, enforce security/compliance, mentor engineering teams, and optimize cloud cost and availability.

Develop, deploy, and maintain Python/Django web and backend applications on AWS. Design and optimize databases, implement scalable AWS infrastructure (EC2, Lambda, S3, VPC, RDS/DynamoDB) using CloudFormation and CI/CD, monitor via CloudWatch/CloudTrail, work with analytics tools, and troubleshoot to ensure high availability.

Develop and maintain ASP.NET/MVC applications using C#, Razor and Entity Framework; implement client-side features with JavaScript/AJAX/HTML; write SQL queries; work with WebApi/WCF and SOA; use TFS and unit testing frameworks; optionally work with WinForms/WPF and Azure. Lead and manage a team, applying strong problem-solving and communication skills.

Design, build, and maintain scalable Node.js backend services and microservices on AWS. Implement asynchronous processing with Kafka/SQS, ensure observability with Datadog/Splunk, troubleshoot production issues, collaborate across teams, and drive backend best practices and performance optimizations.