Top SQL Jobs in Pune

Design and build Python-based microservices and REST APIs using FastAPI. Deploy and operate services on AWS (EC2, S3, Lambda, RDS) with secure networking (VPC, IAM). Containerize and orchestrate workloads with Kubernetes and manage YAML manifests. Implement data flows with Apache NiFi, build CI/CD pipelines (Jenkins, Git, Kompass), optimize relational DBs with SQL, and deliver features in an Agile environment.

Design and build Java Spring Boot microservices and REST APIs, implement unit tests, work with MyBatis/Oracle SQL and PL/SQL, use Git and CI/CD (Maven/Jenkins), deploy to AWS (EKS) on Kubernetes, manage secrets, and support Angular-based front-end code.

Design, develop, and test complex SQL/PLSQL reports; analyze source data and requirements; perform code promotions, reviews, unit testing; collaborate across teams; communicate with end users and support reusable coding practices.

Collect, clean, analyze, and integrate data from multiple sources, perform quality checks, run statistical and exploratory analyses, build dashboards and reports (SSRS, Power BI), communicate insights to stakeholders, and support data governance and data management initiatives.

Principal software engineer responsible for designing and building data solutions: develop Oracle PL/SQL stored procedures, create SnapLogic pipelines, tune SQL/DB performance, participate in Agile delivery, perform code reviews, troubleshoot, and ensure scalability, resiliency, security, and high availability.

Lead development of secure, scalable full-stack banking applications. Design RESTful APIs and microservices with Java/Spring, build Angular front-ends, manage SQL/NoSQL databases, implement CI/CD, ensure OWASP-compliant security, perform testing and production support, and collaborate with product and UX teams in Agile delivery.

Design, develop, test, deploy and maintain scalable full‑stack applications with focus on UI/UX and server‑side logic. Optimize performance and availability, build reusable code, mentor teammates, and collaborate with tech teams and end users. Work with container orchestration, observability and CI/CD tooling.

Design, develop, and maintain Java Spring Boot back-end and Angular front-end applications; build and consume APIs; write SQL for Oracle/MS SQL; deploy to AWS/Azure; implement secure development practices, DevOps automation and CI/CD; collaborate with remote international teams.

Lead ETL design, data modeling, and ETL development for the enterprise data warehouse. Provide technical leadership, translate stakeholder requirements into designs, document specs, develop and test ETL, perform code and design reviews, ensure security and release/change management, and support migration and performance optimization within Agile teams.

Build and automate data validation and reconciliation tests for ETL pipelines and data warehouses. Write and optimize complex SQL, investigate data discrepancies, design ETL test strategies, and implement automated testing frameworks to ensure data integrity.

Design, build, and maintain high-performance Scala applications and RESTful APIs. Work across the SDLC, collaborate with cross-functional teams, debug complex issues, and optimize systems. Use relational databases (MySQL/PostgreSQL), apply functional and OOP principles, and improve development processes and tooling.

Build, support, and test large-scale AWS cloud-native applications using Java and Apache NiFi to integrate data across AWS services. Own secure SDLC and CI/CD practices, implement microservices/serverless/event-driven architectures, and collaborate with stakeholders to deliver high-quality software.

Design, develop, test, deploy and maintain high-performance, scalable front-end applications. Convert UI/UX designs into web apps, optimize cross-browser performance, build reusable code, mentor teammates, and collaborate with backend teams to deliver distributed, stateless SaaS platforms.

Act as liaison between business and technical teams to gather and document requirements, analyze processes and data, create process maps, user stories, and dashboards, support project management and QA, and facilitate stakeholder workshops to drive improvement and automation.

Early-career TechOps role: build dashboards/alerts, script repetitive ticket steps, participate in RCAs, log user pain points and propose fixes, create a lightweight agent (e.g., Telegram bot) with reusable skills, optimize incident-management workflows, and write actionable runbooks to improve support-driven user experience.

Lead a team of technical support engineers, ensure high service quality, handle complex troubleshooting, and collaborate with global teams for customer advocacy.

The Growth & Lifecycle Marketing Manager will lead lifecycle marketing programs, optimize digital channels, and apply AI in strategy execution and measurement to drive patient engagement and business growth.

Lead design, delivery, and operational support of large-scale cloud-native data platforms (Snowflake, AWS, Azure). Architect solutions, mentor engineers, manage multiple customer accounts, optimize performance, automate operations, and present technical recommendations to executives.

Lead requirement gathering and configure Oracle AR and Project Accounting (PA), design CEMLI solutions, develop PL/SQL and Forms/Reports, build interfaces/APIs, perform performance tuning, provide Tier 2/3 production support, and manage testing (UT/SIT/UAT).

Configure and customize Oracle Fusion PD and PIM; modernize and build Redwood-compliant UIs using Oracle Visual Builder; design REST/SOAP integrations; develop and optimize OTBI reports and dashboards; support user adoption, testing, security roles, and Fusion data-related solutions.

Senior Data Engineer responsible for designing, building, and optimizing Azure data pipelines and ETL/ELT processes using ADF and Databricks. Implement Spark-based Lakeflow declarative pipelines, develop PySpark and SQL transformations, and integrate agentic AI components. Offshore role requiring 5–12 years' experience and immediate to 30-day availability.

Design, build, and optimize ETL pipelines and data warehouses using SQL, AWS Glue, and S3. Investigate and resolve data issues, develop Python-based solutions and small web apps, and own requirements, design, and end-to-end delivery for change requests.

Lead data science initiatives using advanced statistical techniques and machine learning to produce actionable insights. Partner with cross-functional teams to design data-driven solutions, manage and ensure integrity of large datasets, develop predictive models to forecast trends, and communicate results to stakeholders while staying current on emerging technologies.

Own and scale participant acquisition for a global B2C gig marketplace using non-paid-media channels: organic loops, referrals, community partnerships, agentic outreach, automation, and lightweight analytics. Run weekly experiments, optimize metrics like cost per activated participant and repeat-task rate, and unlock new geographies driven by client demand.

Analyze user behavior, feature adoption, and retention across a B2B SaaS platform to generate evidence-based product insights. Track journeys, run cohort and funnel analyses, support A/B testing, define product KPIs, ensure data accuracy, and provide structured recommendations to inform roadmap and improve adoption and retention.