Top SQL Jobs in Pune

Develops and maintains automated testing frameworks, suites, scripts, and test environments across the software development lifecycle. Performs unit, component, functional, performance, load, security, and service virtualization testing. Integrates tests with continuous integration and delivery tools, creates test data, analyzes defects and system performance, and supports TDD and BDD practices. Collaborates with developers, stakeholders, and clients to plan testing, execute test cases, track defects, and improve code quality.

Designs, develops, and supports enterprise integrations using Oracle Integration Cloud. Builds REST and SOAP APIs, file-based, database, and application integrations connecting Oracle Cloud, third-party, and on-premises systems. Configures mappings, lookups, connections, fault handling, and error management; monitors production integrations, troubleshoots issues, performs root-cause analysis, and supports testing, deployment, documentation, and production operations while collaborating with onsite teams and stakeholders.

Design, architect, implement, test, and document Boomi integration solutions. Gather customer requirements, deploy Molecule/Atom runtimes with HA/DR, troubleshoot integrations, follow best practices, manage projects, and maintain high customer satisfaction and SLAs.

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

Build scalable data pipelines and cloud infrastructure while investigating data quality, lineage, controls, and authoritative sources. Apply advanced analytics and AI/ML to identify trends, develop logical data models, and recommend business improvements. Create dashboards and automate reporting for stakeholders. The role also leads AWS architecture, container orchestration, CI/CD engineering, risk management, platform initiatives, senior stakeholder engagement, and engineering team mentoring.

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.

Supports EDI configuration and business processes for North American sales organizations. Monitors and troubleshoots inbound and outbound transactions, maps data between internal systems and standardized EDI formats, manages access, and ensures compliance with industry rules. The role reports EDI KPIs, maintains process documentation, analyzes customer requirements, and applies Lean continuous-improvement methods to reduce errors and improve touchless order flow.

Develop and improve scalable, secure software and infrastructure for digital solutions. Responsibilities include IBM Sterling file-transfer development, deployment pipeline support, secure coding, unit testing, code reviews, stakeholder collaboration, risk management, and technical guidance. The role requires SQL, Shell scripting, Java, Git, CI/CD, file-transfer protocols, certificate management, and familiarity with Linux, cloud, containers, Kubernetes, and Oracle databases. Based in Pune.

Develop and improve scalable, secure software solutions using IBM Sterling technologies, databases, file-transfer protocols, and business process and map development. Collaborate with product managers, designers, and engineers; participate in code reviews, unit testing, DevOps automation, and technology improvement. The role also involves risk management, stakeholder coordination, technical advising, and potentially leading and developing a team. Based in Pune.

Own the anti-financial-crime product lifecycle, including vision, strategy, roadmap, backlog, release planning, and value measurement. Gather requirements, define epics and user stories, analyze data, support MVP decisions, manage dependencies, document processes, and coordinate delivery with business, technology, QA, and control teams. Lead and coach a small team while ensuring production-ready solutions, data quality, governance, and regulatory alignment.

Lead and execute Production Verification Testing (PVT) and release validation for web, mobile, and API-based products. Design and run test plans, manage defects, perform root-cause analysis, validate customer journeys, collaborate with product and engineering teams, contribute to automation, and support release readiness and post-deployment verification while driving continuous improvement of PVT standards.

Design, develop, and maintain scalable, secure data architectures and pipelines. Collaborate with product, design, and data science to build data warehouses/lakes, processing algorithms, and deploy ML models. Ensure code quality via unit testing, secure coding, and participate in code reviews. Lead or advise teams, manage risk and controls, and contribute to cross-functional delivery and technical excellence.

Lead manual, automated, and AI-assisted mobile testing (iOS/Android); create and maintain test cases and automation; integrate tests into CI/CD; analyze defects and metrics; collaborate with engineering and product teams to ensure release quality and continuous QA improvements.

Leads a development team responsible for building, supporting, modernizing, and migrating an enterprise MDM platform. Designs solutions, writes and reviews code, manages sprint delivery, resolves complex data and platform issues, oversees testing and CI/CD, ensures SLA, security, SOX, and compliance requirements, and drives data integration, reconciliation, and migration initiatives. The role also includes hiring, coaching, performance management, vendor coordination, incident resolution, and platform stability ownership.

Develop and maintain enterprise data quality controls, validation rules, workflows, integrations, reconciliation processes, dashboards, and monitoring frameworks across MDM, ERP, CRM, Snowflake, and data lake systems. Investigate and remediate data quality incidents, analyze root causes, manage SLA-driven resolution, and implement permanent fixes. Gather requirements, present findings to global stakeholders, and support data governance and continuous improvement initiatives.

Supports global liquidity and risk reporting by delivering standard and ad hoc analytics, monitoring SLAs, reviewing data quality, resolving portfolio and security-level issues, and managing data acquisition, cleaning, and transformation. The role also supports production processes, automation, user-acceptance testing, documentation, and cross-functional data consistency initiatives using MSCI RiskMetrics and Barra.

Apply data science to supply chain planning and inventory management: develop analytical tools, optimization models, and replenishment strategies using SAP data, ETL pipelines, Power BI, and statistical methods to improve processes and deliver financial value.

Design, develop, deploy, and manage secure, scalable AI applications and intelligent automation solutions. Build generative AI, NLP, LLM, RAG, and agentic AI systems using cloud-native AWS services and orchestration frameworks. Develop production APIs and pipelines with Python, PySpark, SQL, MLOps, CI/CD, Docker, and Kubernetes. Collaborate cross-functionally, promote engineering quality, manage risk and governance, and guide technical teams and stakeholders.

Designs and maintains complex Salesforce and Tableau reports, dashboards, data sources, and visualizations. Partners with stakeholders to define KPIs, metrics, data definitions, and reporting requirements. Optimizes performance, permissions, refreshes, integrations, and data accuracy across Salesforce, Tableau, and enterprise systems. Leads mockup reviews, supports executive reporting cycles, trains users, and troubleshoots reporting discrepancies. Requires strong Salesforce reporting, Tableau, SQL, stakeholder communication, and dashboard design expertise.

Support Finance data quality and governance for regulatory compliance. Document data flows, onboard and manage data quality issues, collaborate with IT and finance SMEs, monitor datasets using tools, and drive continuous improvement and remediation to meet policy and KCIs.

Analyze sales and compensation data using Xactly to identify trends, calculate incentive payouts, monitor sales performance, and deliver actionable insights. Implement and maintain analytics solutions, support system utilization, improve processes, and collaborate with Sales, Finance, Marketing, HR, and other global stakeholders. The role also involves predictive modeling, BI tool deployment, training-material development, and sales compensation analytics.

Lead the development of secure, scalable, fault-tolerant full-stack applications and API-first digital solutions. Build RESTful APIs, microservices, and event-driven systems; contribute to architecture, testing, CI/CD, observability, and performance optimization. Collaborate with product, design, and engineering teams, enforce code quality and secure coding practices, conduct code reviews, mentor developers, and guide technical direction. The role also involves stakeholder advising, risk management, governance, and continuous technology improvement.

Develop and enhance SAS applications supporting regulatory reporting, stress testing, and board reporting within a finance data warehouse. Responsibilities include requirements refinement, coding, technical design, performance optimization for large datasets, testing, documentation, audit support, and agile collaboration. The role interfaces with Oracle, Java, MicroStrategy, Unix, Finance, Risk, and production support teams, while contributing to architecture, DevOps, and responsible use of AI tools.

Design, build, and maintain data pipelines and models on GCP; integrate, cleanse, and prepare large datasets; implement data quality checks and security best practices; troubleshoot data issues; mentor junior data engineers and review their work.

Design, build, and maintain ETL/ELT data pipelines and data integrations. Optimize SQL queries and troubleshoot workflows, ensure data quality and governance, support data warehouse/lake implementations, work with cloud platforms, participate in code reviews, and document technical designs.