Top SQL Jobs in Pune

Develop and maintain scalable cloud-based applications using Java and Spring Boot. Collaborate with product and engineering teams, implement microservices and APIs, ensure security and code quality, and support testing, deployment, monitoring, and incident remediation. Contribute to CI/CD automation, Agile ceremonies, technical documentation, proof-of-concepts, and AI-assisted software development practices. Work with relational and NoSQL databases, containers, DevOps tools, and emerging AI technologies.

Design, develop, and maintain scalable cloud-based applications using Java and Spring Boot. Collaborate with product and engineering teams, follow security and architectural standards, and participate in testing, code reviews, deployments, incident response, and root-cause analysis. Improve CI/CD pipelines, automation, documentation, and engineering workflows while adopting AI-assisted development tools. Contribute to Agile planning, technical research, project estimation, and continuous learning.

Designs and implements automated test frameworks and Java-based automation for API, UI, integration, regression, and end-to-end testing. Integrates tests into Jenkins CI/CD pipelines, performs defect and root-cause analysis, defines test strategies, and collaborates across development, product, and DevOps teams. The role also involves Agile participation, quality engineering improvements, and mentoring junior engineers.

Design, develop, test, deploy, and support scalable full-stack applications using Java, Spring Boot, React, microservices, REST, gRPC, messaging, and relational databases. Own initiatives from requirements through production, contribute to architecture and technical decisions, build automated tests using TDD, improve CI/CD and engineering productivity with AI-assisted tools, troubleshoot production issues, conduct code reviews, and mentor engineers while collaborating across distributed teams.

Develop, test, and maintain Python- and SQL-based data pipelines and ETL/ELT processes on Google Cloud Platform. Build BigQuery transformations, support data warehouse modeling, troubleshoot data quality issues, document solutions, and collaborate with engineers and analysts. The role requires strong GCP data engineering experience, including BigQuery and Pub/Sub, with preferred experience in Cloud Composer, Dataflow, Cloud Functions, Git, and Google Cloud certification.

Owns service management and production readiness for mission-critical payment, data, and platform services. Leads incident and problem management, root cause analysis, change and release governance, certificate lifecycle management, risk and compliance controls, service monitoring, and continual improvement. Partners with engineering, product, operations, customer support, risk, and external stakeholders to improve resilience, reliability, customer experience, and operational outcomes across distributed environments.

Manage and mentor a cross-functional engineering team to design, build, and deploy analytics and AI-driven full-stack solutions. Lead technical direction, architect scalable data pipelines and APIs, collaborate with product and design, and champion cloud-native, testable, production-grade applications while promoting continuous improvement and responsible AI practices.

Develop, test, validate, and support large-scale batch and real-time data platforms using Spark, Kafka, and NiFi. Build resilient data pipelines, validation frameworks, reusable platform components, and deployment automation. Optimize distributed systems for performance, scalability, and reliability; support production operations, monitoring, troubleshooting, and incident resolution. Collaborate on architecture, CI/CD, documentation, and engineering standards while mentoring junior engineers.

Leads full-stack software development and quality engineering for Mastercard’s Global Data Repository. Designs automated testing frameworks, performs unit, integration, exploratory, cross-browser, and cross-device testing, and integrates test automation with CI/CD and code coverage tools. Participates in requirements, architecture, code reviews, defect management, metrics, and Agile delivery. Provides technical leadership and mentorship while ensuring software meets business, security, performance, and quality standards.

Develop and maintain SailPoint Identity products by writing quality Java and JavaScript code, debugging complex issues, delivering enhancements and defect fixes, and supporting customer escalations. The role involves developing REST services and UI components, integrating databases and enterprise systems, creating unit tests, collaborating with engineering and product stakeholders, and gradually taking ownership of system modules in a hybrid Pune office environment.

Support and enhance SAP Concur Expense and Travel systems, including configuration, reporting, API integrations, and boundary-system connectivity through Boomi. Gather requirements, design and develop secure, testable solutions, create Cognos reports, provide ongoing application support, and collaborate with business stakeholders and project teams. Ensure compliance with development methodologies, security standards, estimates, testing, documentation, and Mastercard policies.

Administer and optimize Cloudera CDP/CDH environments and enterprise data-processing workloads. Develop PySpark and Python solutions, build CI/CD pipelines with Jenkins and Git repositories, integrate security and code-quality tools, optimize Hive and Impala SQL, monitor platform health, perform upgrades, troubleshoot issues, and implement security, access management, governance, and high-availability practices.

Leads cybersecurity data-source onboarding and integration for Zscaler’s security platform. Builds and automates Python/API-based data transformations, maps and normalizes security data, manages pipeline lifecycle activities, troubleshoots data quality, and identifies security gaps. Partners with cybersecurity SMEs and cross-functional teams to create implementation plans, communicate technical findings, and provide product improvement feedback. The role requires expertise in security platforms, diverse security-tool integrations, data modeling, SQL, and Python.

Build and maintain data validation rules, test cases, quality artifacts, profiling processes, anomaly detection, and quality reports. Perform data quality checks across testing lifecycle stages and collaborate with business, technology, operations, governance, architecture, engineering, and analytics teams. Lead solution design and estimations, work across cloud and on-premises data environments, and mentor Data Quality Analysts.

Leads MetLife’s India-based enterprise data engineering organization, overseeing data architects, engineers, platform engineers, and scrum leads. Responsibilities include setting data engineering roadmaps, designing scalable data architectures and platforms, directing ETL/ELT solutions, improving data governance and storage, and delivering trusted data products. The role also owns talent acquisition, team development, cultural transformation, stakeholder alignment, and strategic data-driven innovation across global financial services operations.

Lead the strategy, architecture, and evolution of enterprise data platforms supporting secure data exchange, discovery, governance, integration, and self-service consumption. Establish scalable patterns for data quality, lineage, observability, privacy, and security while reducing bespoke workflows through automation. Provide technical leadership across engineering organizations, influence architecture decisions, mentor technical teams, and translate complex business needs into reusable cloud and on-premises data solutions.

Design and develop a scalable automated locates platform for securities finance using Java, Spring, microservices, distributed systems, containers, AWS, SQL, caching, and messaging technologies. Build high-performance enterprise applications, optimize transactional data models and queries, integrate real-time processing systems, and collaborate with development, business analysis, QA, and operations teams.

Leads global workforce analytics and reporting, translating HR data into actionable insights for business leaders. Responsibilities include dashboard development, headcount reporting, forecasting, data quality management, governance, dimensional data modeling, advanced SQL analysis, and collaboration with HR systems, engineering, and FP&A teams. The role also explores Generative AI to automate reporting and enhance employee analytics.

Provides technical and delivery leadership for large-scale payment-network initiatives. Defines secure, scalable, highly available architectures; coordinates releases, dependencies, defect resolution, and cross-team engineering execution; leads design reviews and architecture governance; establishes standards, guardrails, reusable patterns, and resiliency strategies; and mentors engineers and technical leads. The role emphasizes distributed systems, multi-region recovery, observability, reliability engineering, security, operational readiness, and stakeholder communication across globally distributed teams.

Supports finance and risk regulatory change initiatives as a business analyst. Responsibilities include documenting requirements, analyzing complex regulatory data models and high-volume datasets, designing functional solutions, identifying risks and trade-offs, supporting stakeholder decisions, and providing subject matter expertise. The role also involves working with Basel III/IV, PRA/COREP reporting, HSBC credit-risk data, SQL, Excel, Python, and Google Cloud Platform in complex global programs.

Collaborates with internal and client teams to analyze business problems, translate requirements into technical designs, and implement technology solutions. Develops technical features using appropriate methodologies, testing practices, and technology stacks. Supports project implementation planning, interprets business requirements, and contributes to small- and medium-scale client engagements involving databases, programming, cloud platforms, and analytics.

Designs, develops, and maintains Java-based test automation frameworks for payment processing platforms. Builds functional, API, integration, regression, UI, and end-to-end test suites covering authorization, clearing, tokenization, and payment workflows. Integrates automated tests into CI/CD pipelines, manages test data and environments, analyzes failures, and collaborates with engineering teams to improve software quality and automation efficiency.

Build data engineering solutions that ingest, aggregate, unify, and analyze high-volume data from diverse sources. Develop data pipelines and models using Cloudera, Databricks, AWS, Hadoop, Python, and SQL. Partner with product, data science, platform, technology, client, and sales teams to deliver actionable insights, prototypes, business intelligence, and innovative cyber, fraud, security, and digital identity products.

Develops, tests, validates, and supports large-scale batch and real-time data platforms using Spark, Kafka, and NiFi. Builds resilient data pipelines, validation frameworks, distributed storage solutions, deployment automation, and operational tooling. Optimizes performance, scalability, and reliability; supports production troubleshooting and incident resolution; contributes to architecture, CI/CD, documentation, code reviews, and engineering standards; and mentors junior engineers.

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.