Top SQL Jobs in Pune

As an Azure Data Engineer, you will innovate and maintain data engineering services for Fortune clients, develop software for large projects, and utilize Azure components for solutions.

The Market Data Enablement Manager will lead trade automation projects, enhance operational efficiency, integrate trade data, and mentor cross-functional teams within fund administration and technology.

The Solution Designer will identify and analyze business problems, develop business requirements, collaborate with stakeholders, and support project management activities to implement solutions that align with organizational goals.

Design, build, and maintain large-scale production services and web applications; participate in Agile processes; debug production issues; mentor peers; improve engineering standards, tooling, and validate code quality and testing.

The Snowflake Solutions Architect designs and implements scalable data solutions on Snowflake, collaborates with engineering teams, optimizes performance, ensures data governance, and engages stakeholders to drive architectural decisions.

The Technical Business Analyst bridges business needs and technical teams, performing requirement analysis, system design, and optimizing data processes, while collaborating in Agile environments.

The Technical Business Analyst bridges business stakeholders and technical teams, gathering requirements and translating them into actionable technical specifications, focusing on ETL workflows and data integration within an Agile environment.

The Transaction Management Associate will handle operational input on loan transactions, facilitate re-underwriting, closings, and post-closing activities, while ensuring compliance and communication with involved parties.

Design, develop, and maintain automated validation suites across web, mainframe, API, desktop, file, and email workflows. Build and enhance automation frameworks using Java/Python/JavaScript and modern test frameworks. Integrate LLM-based capabilities for test generation, failure analysis, and data creation. Validate core banking and payments flows in NA Retail Banking. Collaborate in Agile/Scrum teams and ensure robust test architecture and framework development.

Lead strategy and delivery of reporting and insights across dashboards, report builders, exports, APIs, and AI experiences. Partner with Data, Engineering, Design, Sales, and Ops to build accurate, auditable payroll-grade reports, drive adoption, and embed explainable AI insights. Define KPIs, manage stakeholders, and ensure scalable, trustworthy reporting for customers and internal teams.

Design and implement data federation and lakehouse architectures (Starburst/Trino), build scalable ETL/ELT pipelines using Python and Spark, optimize Spark and federated queries, manage Delta/Iceberg/Hudi tables, and enforce governance, access control, and data masking for analytics and AI use.

Serve as executive-level technical leader and CTO-like advisor for strategic accounts: define architecture and roadmaps, drive delivery quality and expansion, mentor teams, align partners, and ensure client success and revenue growth.

Lead design and delivery of end-to-end data engineering solutions for enterprise clients. Architect cloud data platforms (Snowflake, AWS, Azure, Databricks, GCP), build and optimize SQL and transformation pipelines (dbt), mentor and manage solution architects and data engineers, produce technical documentation and presentations, and ensure production performance, security, scalability, and successful client engagement.

Lead the technical design and implementation of a Java-based digital platform and headless APIs. Architect and build microservices for search, browse, cart, checkout and personalization; integrate PIM/OMS/CRM/payment gateways; implement messaging (RabbitMQ/Azure Service Bus), caching (Hazelcast/Redis), and RDBMS tuning. Support cloud-native deployments (Azure/AWS/GCP), CI/CD and DevSecOps practices, drive observability (Datadog/Splunk), mentor engineers, and ensure scalable, low-latency customer-facing experiences.

Lead and mentor database engineering for complex Oracle environments: install/configure DB software, backup/recovery, patching/upgrades, migrations, capacity planning, tuning, monitoring, security/compliance, DR/failover, automation, SLA measurement, troubleshooting, and vendor/developer collaboration. On-call responsibilities and architecture of specialized environments (replication, clustering, log shipping).

Build and maintain Python backend services and internal tools for AI/LLM applications. Integrate LLM APIs, design scalable REST APIs and async workflows, handle prompt management and model routing, monitor performance, debug distributed systems, automate data workflows, and collaborate to productionize AI features with emphasis on scalability, reliability, and safety.

Design, build, and maintain manual and automated end-to-end tests for front-end and back-end APIs. Use Cucumber BDD, Postman, Jenkins, and SQL to validate functionality, data integrity, and performance across cloud-native and big-data environments (GCP/BigQuery). Integrate tests into CI/CD pipelines, track defects in Jira, and collaborate with cross-functional Agile teams to ensure continuous quality.

The Senior Business Analyst collects, analyzes, and presents data to support business decision-making, reporting, and strategic planning within the organization.

The Data Visualization Developer will create and support dashboards in Power BI, develop SQL scripts, perform regression testing, and troubleshoot existing scripts.

Lead sales operations and incentive compensation strategies for business growth, enhance performance through analytics, and manage stakeholder relationships.

The Business Intelligence Manager leads Tableau development, data strategy, and stakeholder engagement, while managing a team and ensuring data governance in pharmaceutical client engagements.

This role involves assisting in CI/CD pipeline development, configuration management, cloud platform work, and learning DevOps tools within a remote team.

Responsible for designing and developing a GCP data ecosystem, creating data pipelines, optimizing data architectures, troubleshooting issues, and mentoring junior engineers.

Design, build, and maintain cross-vendor market data pipelines and QA processes. Investigate complex data issues, handle escalations, collaborate with product and engineering via JIRA, and ensure data accuracy for equities fundamentals, estimates, and market data.

Lead the evolution of AlphaSense's application portfolio by integrating AI and architecting solutions. Mentor engineers and drive initiatives in a dynamic, full-stack environment.