Top SQL Jobs in Pune

Develop, test, and maintain mainframe applications using COBOL, DB2, VSAM, JCL and CICS. Design and implement solutions, perform unit/system/integration/regression/performance testing, handle implementation planning, database and disaster recovery, lead technical discussions, mentor peers, and ensure high-quality, maintainable code in an Agile environment.

Design, develop, test, and debug mainframe applications using COBOL and related technologies; plan implementations, perform multiple test types, handle DB and disaster recovery, lead technical discussions, mentor peers, and ensure high-quality, maintainable deliverables in an Agile environment.

Design, develop, and maintain Java/Node microservices and React UIs deployed on Azure. Optimize databases, implement CI/CD and DevSecOps, perform code reviews, mentor engineers, troubleshoot production issues, and adopt new tools to improve developer productivity.

Senior Technical Functional Analyst delivering technical-functional requirements, workshops, and implementation-ready specs. Leads discovery on system behaviour, integrations, APIs and data models, writes user stories and acceptance criteria, supports testing and documentation, and collaborates with stakeholders, development teams, and vendors to enable reliable delivery.

Develop, test, debug, and maintain mainframe applications using COBOL, JCL, CICS, DB2 and related tools. Plan implementations, perform extensive testing (unit/system/integration/regression/performance/volume), handle DB and disaster recovery planning, lead technical discussions, mentor peers, and collaborate with business partners in an Agile environment.

Design, develop, test, debug, and maintain mainframe applications using COBOL, DB2, VSAM, JCL, and CICS. Lead implementation planning, execute unit/system/integration/regression/performance testing, manage disaster recovery and database continuity, participate in Agile teams, conduct code reviews, mentor peers, and collaborate with business partners to resolve technical issues and deliver reliable software.

Develop, test, debug, and deploy mainframe applications using COBOL, DB2, VSAM, JCL, and CICS. Plan implementations, perform multiple test types, handle database and disaster recovery planning, lead technical discussions, mentor peers, and deliver maintainable code within an Agile environment.

Design, build, monitor, and optimize batch and real-time ETL/ELT data pipelines on Azure or on-prem. Ensure data quality, security, and compliance; collaborate with business and D&A partners; mentor data engineers; lead solution design, estimations, and performance tuning for large-scale data platforms (data lakes, warehouses, marts) using Big Data frameworks and cloud data services.

Design, implement, test, debug and maintain complex mainframe applications using COBOL, DB2, VSAM, JCL and CICS. Plan and execute unit/system/integration/regression/performance testing, manage implementations and disaster recovery, lead technical discussions with business partners, perform code reviews, and mentor peers within an Agile environment.

Develop, design, code, test, and debug mainframe applications using COBOL, DB2, VSAM, JCL, CICS and related tools. Work independently with minimal guidance, adapt to new technologies, and operate within an Agile environment.

Design, develop, test, debug, and maintain mainframe applications using COBOL, JCL, CICS, DB2 and related tools. Plan and execute unit/system/integration/regression/performance testing, implementation coordination, database and disaster recovery planning, and peer code reviews. Participate in technical design discussions, mentor teammates, and deliver high-quality, maintainable code in an Agile environment.

Design, develop, test, debug, and maintain mainframe applications using COBOL, DB2, VSAM, JCL, and CICS. Lead testing (unit through performance), implementation planning, disaster recovery, peer reviews, and technical collaboration. Mentor peers and deliver high-quality, maintainable code in an Agile environment.

The Senior Data Engineer will lead requirements gathering, document business needs, manage projects, drive testing, and improve productivity in data engineering applications.

Design and implement high-performance Single Page Applications and UI components; integrate and architect Spring Boot RESTful APIs; collaborate with data scientists, architects and test engineers; write maintainable, testable, and secure code; build data-visualization dashboards; verify features and manage tasks through the SDLC.

Lead design and implementation of an Analytic Foundation and scalable big-data services delivered via APIs. Build data pipelines, analytics and data models, responsive UIs, and production ML/data-driven applications. Ensure high-quality, well-tested code, mentor junior engineers, drive process improvements, and collaborate with product and design teams to deliver customer-focused data solutions.

Lead a data science team to design and implement AI/ML solutions for life sciences R&D (drug discovery, clinical trials, regulatory), manage projects and client relationships, develop proposals and POVs, build predictive models, integrate large datasets, and communicate insights while driving capability development and research.

The Lead Software Engineer will define and implement an Enterprise Information Management ecosystem while leading software engineering projects, ensuring compliance, and enhancing information governance capabilities.

Responsible for enhancing software development processes, driving Quality Engineering methodologies, and collaborating with developers to improve testing and release practices while ensuring high software quality.

Design, build, and operate large-scale data lakehouse platforms and data products. Partner with business and engineering teams to develop data pipelines, models, and governance; participate in agile ceremonies, architectural discussions, and CI/CD practices to ensure scalability, performance, and regulatory compliance.

As a Senior Software Engineer, you'll own software delivery tasks, troubleshoot, refactor code, and participate in agile processes. You'll also assist peers, provide feedback, and ensure compliance with coding standards and security policies.

As a Software Engineer II in Quality Engineering, you will drive quality practices, collaborate with developers, enhance test automation, and ensure software reliability and performance in Agile environments.

The Appian Architect will design and implement AI-driven process automation solutions, focusing on complex workflows and multi-agent orchestration, while providing technical leadership and ensuring compliance with governance standards.

Design and implement scalable end-to-end data pipelines and storage schemas across cloud and on-prem platforms. Define reference architectures and engineering standards, ensure governance/security/compliance by design, optimize performance for large datasets, and mentor/lead global teams using Python/Java, SQL, Spark, Databricks, and related data platforms.

Design, develop, test, and maintain Java-based microservices. Build automated tests and CI/CD pipelines, support deployments and production, troubleshoot issues, and mentor junior engineers while collaborating with product and cross-functional 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.