Top SQL Jobs in Pune

Develop advanced statistical models and custom analyses using real-world patient-level healthcare data. Generate evidence on treatment patterns, disease burden, adherence, persistence, and outcomes; build dashboards and client-ready deliverables; communicate findings to clients and internal teams; manage analytical workstreams, provide project updates, develop client relationships, implement solutions, and mentor Associates.

Leads data governance standards, policies, metadata, business glossaries, lineage, critical data elements, governance metrics, and regulatory alignment. Resolves governance issues, maintains governance artifacts, and collaborates across business, technology, operations, and analytics teams. The role independently leads solution design and estimation while coaching and developing data governance talent.

Lead and deliver full-stack .NET web projects, write and maintain code (.NET Core, C#), integrate cloud and web technologies, drive technical decisions, ensure unit testing and CI, collaborate with stakeholders and overseas teams.

Lead design and implementation of scalable Salesforce solutions, architect integrations and data strategies, provide technical leadership and mentorship, ensure platform performance/security, and align solutions with enterprise architecture and business needs.

Develop software solutions for Mastercard's fraud prevention platform, participate in design and development tasks, and mentor team members while ensuring high quality and performance standards.

Design, develop, and maintain Microsoft SQL Server databases, optimize query performance, troubleshoot bottlenecks, collaborate with stakeholders, provide database support, and maintain documentation and compliance.

Design, develop, and support SAP Concur Expense and Coupa integrations and reporting. Implement Concur/Coupa configurations, build REST API integrations using mTLS/OAuth2, contribute to architecture, testing, and operational resiliency, and collaborate with business and security teams to ensure secure, scalable financial systems and reporting.

Design and build scalable batch and near-real-time data pipelines, microservices, and distributed data-processing systems using Java, Spark, Kafka, and cloud technologies. Develop ETL/ELT solutions across data lakes and warehouses, improve performance and reliability, implement testing, CI/CD, infrastructure as code, monitoring, and observability, and support production deployments. Collaborate with technical stakeholders, troubleshoot distributed systems, create reusable components, and mentor junior engineers.

Leads a cross-functional software engineering team, overseeing hiring, coaching, performance reviews, product delivery, architecture, coding, code reviews, testing, and DevOps practices. Builds scalable, secure web applications using Java, Spring Boot, Kafka, databases, REST APIs, and Angular. Promotes Agile development, continuous integration and delivery, automation, quality engineering, accessibility compliance, and effective collaboration across teams.

The role involves leading software engineering teams to develop and implement microservices and web applications, focusing on B2B payment solutions and cloud integrations.

Develop, test, deploy, and maintain payment-focused software components. Troubleshoot and refactor code, adopt new languages and patterns, write tests and automation, follow secure coding standards, participate in agile delivery, document APIs, and mentor junior team members.

Develop and maintain secure, high-quality software components for Mastercard’s unified UI platform. Responsibilities include coding, testing, deployment, troubleshooting, refactoring, automation, API integration, release pipeline orchestration, and architecture understanding. The engineer will contribute to Agile processes, conduct demos, improve operational metrics, promote engineering standards, review code, mentor team members, and collaborate with product owners to deliver reliable, accessible customer experiences.

Manage operational frameworks for digital payment products, including Click to Pay and Secure Card on File. Coordinate product, technology, and cross-functional teams; communicate releases; refine business and system requirements; support testing and troubleshooting; establish operational strategies for global rollouts; and analyze KPIs to drive product improvements.

Develop and test high-performance, real-time decision-management software supporting fraud prevention. Drive quality engineering, automated acceptance and integration testing, continuous integration, release automation, code coverage, application security, observability, reliability, and performance. Collaborate closely with developers, improve software processes, contribute hands-on code, and mentor team members. Work with Java microservices, APIs, cloud infrastructure, databases, and testing frameworks in an Agile environment.

Designs and implements scalable, secure Java applications for real-time decision management and fraud prevention. Develops unit, integration, functional, and automated tests; collaborates in Agile Scrum ceremonies; and applies strong software engineering practices. The role requires cloud and microservices expertise, performance optimization, observability, application security, CI/CD, and database knowledge. The engineer will mentor teammates while remaining hands-on and may work with AI models, decision-management platforms, distributed grids, and Angular.

Leads analysis, design, development, testing, deployment, and operation of scalable Java backend services. Designs APIs, event-driven and batch systems, and microservices using Spring Boot, Kafka, cloud, and DevOps technologies. Owns delivery estimates, architecture, quality, security, CI/CD, reliability, and customer experience. Collaborates with product and business stakeholders, mentors engineers, reviews code and automation, drives process improvements, and supports high-availability mission-critical applications.

Supports the design, implementation, and maintenance of enterprise ETL processes and data pipelines for global client engagements. Uses SQL and database technologies to optimize processing and develop scalable code for large datasets. Collaborates with engineers, analysts, clients, and global teams; applies version control, code reviews, data validation, testing, and process automation. Troubleshoots data issues, supports multiple projects, and ensures accurate, compliant, high-quality data solutions.

Lead design and build cloud-native batch and real-time data platforms. Develop scalable ETL/ELT and streaming pipelines (Spark, Kafka, Flink), ensure data quality, governance, observability, security, cost optimization, and drive platform engineering excellence and team mentorship.

Design and implement scalable Java application logic for Mastercard’s real-time Decision Management and fraud-prevention systems. Develop unit, integration, and functional tests; use secure development practices; collaborate within Agile Scrum teams; and manage project timelines. Work with cloud, microservices, databases, observability tools, containers, CI/CD, and source control. The role also involves troubleshooting, performance optimization, code quality, and potentially mentoring team members.

Delivers master data management and technology consulting solutions across the project lifecycle. Translates business requirements into technical designs, develops and tests MDM solutions, leads task planning and team coordination, manages project deliverables, supports client communications, and mentors junior team members. The role requires collaboration across global teams, data analysis and quality expertise, SQL, MDM platforms, cloud awareness, problem-solving, and willingness to travel for client or internal engagements.

As an Automation Engineer, you'll test and analyze a SaaS-based datacenter monitoring solution, design test cases, and contribute to automation coverage to ensure software quality.

Lead QA automation efforts for a SaaS observability platform: design and execute functional, regression, performance, and automation tests; build and maintain automation frameworks; mentor QA engineers; collaborate with product and dev teams; identify risks and drive continuous improvement.

Senior SDET focused on backend and API testing: design and build test automation frameworks (API, contract, UI), maintain CI/CD pipelines, monitor automation health, perform manual web verification, improve QA processes, mentor engineers, and coordinate testing activities across teams.

Work within a SAFe-aligned Scrum team to design, develop, maintain, and support high-availability payment platforms. Collaborate with distributed onshore teams, contribute to sprint planning, ensure production reliability, and drive continuous improvement, automation, and engineering best practices.

Lead design and implementation of full-stack web applications and scalable data pipelines. Build intuitive UIs, backend data models, performant analytics, write and review tests, mentor junior engineers, and collaborate with product and design to deliver customer-focused solutions.