Top SQL Jobs in Pune

Supports Mastercard’s AML and sanctions monitoring programs through Level 2 alert disposition, financial crime investigations, data analysis, regulatory reporting, and risk escalation. Reviews suspicious transaction and sanctions alerts, prepares India FIU STR and CTR filings, maintains tracking records, supports data-localized investigations, conducts research, and recommends process improvements. The role also collaborates with internal and external stakeholders while ensuring compliance with AML, BSA, USA PATRIOT Act, OFAC, privacy, and regulatory requirements.

Leads software engineering for Mastercard’s global money transfer platform. Responsibilities include designing, coding, testing, securing, integrating, troubleshooting, and deploying services; improving CI/CD automation, architecture, reliability, and code quality; supporting agile prioritization and product acceptance; conducting postmortems and technical interviews; and mentoring engineers across globally distributed teams.

Develop complex solutions using various technologies, manage projects through all lifecycle phases, and collaborate with teams to drive results. Emphasizes consulting mindset, client-first approach, and effective communication skills.

Design, develop, and maintain Java microservices and REST APIs using Spring Boot. Build and deploy secure, scalable Azure cloud solutions, work with Docker and Kubernetes, optimize SQL databases, support CI/CD pipelines, document technical solutions, troubleshoot production issues, and collaborate with product, QA, DevOps, and UX teams in an Agile environment.

Designs, builds, maintains, monitors, and optimizes cloud or on-premises ETL/ELT pipelines for large-scale batch and real-time data processing. Ensures data quality, security, compliance, reliability, scalability, and performance. Collaborates with business, technology, operations, governance, data quality, architecture, data science, DevOps, and BI teams to deliver production-grade data solutions.

Lead backend engineer responsible for designing, developing, and maintaining Java-based payment platforms. Work in a SAFe Agile team, support production systems, collaborate with distributed onshore teams, implement testing (TDD/BDD), REST and event-driven integrations, and contribute to reliability, automation, and security practices.

Develop and configure ZAIDYN data pipelines and analytics-ready and AI-ready data products. Responsibilities include ETL development, data modeling, data quality rules, KPI computation, cloud and big-data integration, testing, deployment, documentation, and client delivery. The role translates business requirements into technical solutions, collaborates with global engineering and analytics teams, supports project planning, mentors junior colleagues, and manages assigned workstreams.

Supports Finance Cloud Transformation through liquidity data validation, reconciliation, gap analysis, UAT, dashboard production, defect resolution, and reporting controls. The role validates liquidity returns against PRA, EBA, HKMA, and US Federal Reserve regulations, gathers data requirements, investigates data-quality issues, coordinates with Finance and IT teams, supports testing and sign-off, and helps reduce manual adjustments and operational risk.

Prepare and consolidate annual and quarterly financial reports, review journals, perform variance and analytical reviews, and manage IFRS-based financial and regulatory reporting. Maintain reporting systems, data processes, SOPs, SLAs, and reporting timetables. Partner with finance stakeholders, implement reporting changes, conduct UAT, and drive process improvements through automation using Python, SQL, VBA, and related tools.

Own quarterly revenue reconciliation for degree partners, validating external reports against internal data, investigating variances, and ensuring accurate invoicing and audit-ready reporting. Manage partner follow-up, document revenue definitions and exceptions, support Finance and Accounting close activities, and handle ad hoc analyses. Improve reconciliation through standardized metrics, SQL, light automation, scalable controls, monitoring, and process documentation.

The Senior System Analyst bridges business needs with technical solutions, focusing on data strategy, analytics, stakeholder management, and product ownership within the Workplace Intelligence Platform.

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.

Seeking an experienced GCP Data Engineer to develop, maintain data pipelines, and optimize SQL queries in BigQuery, collaborating with teams to deliver data solutions.

Designs, develops, tests, documents, and supports enterprise integrations using the Boomi AtomSphere platform. The role gathers customer requirements, translates business needs into technical designs, configures high-availability and disaster-recovery runtimes, applies integration best practices, and advises stakeholders. Responsibilities also include project planning, risk management, architecture compliance, customer presentations, technical analysis, and collaboration with application and operations teams. Supports clients globally and contributes to AI Agent Studio development.

Provide operational support for franchise programs, handle day-to-day requests, identify risks, and drive process improvements. Build data dashboards, analyze large datasets, automate processes, and partner with stakeholders to implement solutions and enhance customer experience.

Lead development and deployment of production ML models and analytics for wealth management and retail banking. Analyze large datasets, design predictive solutions (segmentation, churn, personalization, risk), build data pipelines and feature engineering, monitor model performance, drive MLOps and responsible AI practices, and communicate insights to stakeholders.

Lead GBSC data engineering and analytics initiatives: design data/ETL infrastructure, implement automation, enable large-scale structured and unstructured data analysis, manage team delivery, and communicate insights to influence business decisions.

Join Identity feature teams to write and deliver high-quality Java/J2EE code, debug complex customer L3 escalations, build UI components and REST services, collaborate with engineering and support, and improve test coverage and product reliability.

Lead ML engineering for Operational Intelligence: design and productionize multimodal transformer and agentic systems, build scalable RAG/Graph-RAG and LLMOps/MLOps pipelines, implement inference services and memory/state subsystems, apply traditional and deep learning methods, enforce Responsible AI, and drive research-to-production innovation.

Lead a team to architect and deliver production-grade generative AI: multi-agent systems, multimodal transformers, RAG/Graph-RAG, LLM fine-tuning and LLMOps on cloud platforms. Build Python inference services, manage agent state/memory, implement responsible AI and governance, and integrate traditional ML for interpretable hybrid systems while researching and productionizing frontier models.

The Senior Software Engineer - Data Engineer will lead project phases, design technical solutions, manage team efforts, and collaborate globally while driving innovative data solutions.

Lead development of scalable microservices and developer tooling using Java/Go (or Python). Design, implement, test, and operate secure, high-performance services, CI/CD pipelines, containerized deployments, and monitoring. Mentor engineers, collaborate cross-functionally, and champion engineering standards, secure SDLC, and developer experience initiatives.

Design and implement ETL/data automation using Alteryx and SQL, build Tableau dashboards, develop Power Platform solutions, manage Alteryx Server, gather requirements, deliver end-to-end analytics, and continuously improve reporting and data integration.

Design, build, and maintain scalable batch and near-real-time data pipelines and curated datasets. Enable ML-ready feature datasets, implement reliability patterns, ensure secure data handling and governance, and drive engineering best practices in collaboration with data science, platform, and BI stakeholders.

Leads a first-line compliance function for liquidity regulatory reporting. Responsibilities include designing compliance test cases, managing testers, executing and analyzing testing, identifying regulatory or policy non-compliance, coordinating remediation with Finance Change and Reporting Operations, and communicating outcomes to senior stakeholders. The role requires expertise in LCR, NSFR, maturity ladders, banking products, regulatory requirements, SQL, ETL transformations, and complex data analysis.