Top SQL Jobs in Pune

The Implementation Consultant will work with customers to implement incentive compensation management solutions, gather requirements, design systems, and support go-live processes.

The Technical Support Engineer II will troubleshoot complex customer issues, mentor junior engineers, and collaborate across teams to enhance customer satisfaction and product quality.

The role involves building scalable data models, automating reporting, implementing metrics, developing dashboards, and ensuring data quality across teams globally.

Leads the design, development, testing, and support of scalable .NET Core and Angular applications. Builds REST APIs, microservices, database solutions, stored procedures, and responsive user interfaces; optimizes application and SQL performance; conducts code reviews; and provides technical guidance. Implements security, unit testing, CI/CD, and deployment practices, troubleshoots production issues, and collaborates with architecture, QA, DevOps, product, and business stakeholders in an Agile environment.

Lead data engineering initiatives to build ingestion, integration, and common data models; enable data products and governance across domains; design scalable cloud-based data architectures and ML pipelines; collaborate with business and tech teams to deliver data products, ensure data quality, and drive adoption.

Define and govern the global AVEVA MES solution architecture, lead technical design and governance, participate hands-on in configuration and development, support integrations and production incidents, create templates and documentation, guide vendors and internal teams, and drive rollout, CI/CD, and long-term MES capability building across sites.

Manage and optimize MSSQL databases and cloud database solutions, perform data migrations, develop complex SQL queries, stored procedures and reporting automation, implement ETL and data warehousing solutions, ensure data quality and security, and collaborate with stakeholders to deliver actionable insights under tight deadlines.

Design, develop, and maintain backend applications and microservices using C# and .NET Core. Build RESTful APIs, implement SOLID design patterns, write unit tests, work with Entity Framework and SQL databases, participate in code reviews, debugging, performance tuning, and Agile/Scrum team activities while collaborating with frontend, QA, and product teams.

The Lead Auto QA Engineer will develop test scripts, analyze regression failures, debug script issues, and enhance regression coverage within the financial services sector.

Lead NLP and generative AI solutions end-to-end: build intent/entity extraction, classification, summarization, search, and chatbot systems. Design, fine-tune, and evaluate LLMs and traditional NLP models, implement production-ready pipelines, collaborate cross-functionally, and drive client-facing consulting engagements in financial services.

The Data Engineer will design and build data pipelines, perform data analysis, and create visual reports, while collaborating cross-functionally to drive operational improvements. Responsibilities include implementing data transformation/storage solutions and overseeing data governance.

Lead SDET designs and implements test strategies and automated test suites (UI and API), collaborates with cross-functional teams, performs root cause analysis, integrates tests into CI/CD pipelines, mentors peers, and ensures test documentation and quality standards for delivery.

Seeking a Full Stack Developer to design, develop, and improve software, ensuring high-quality delivery through collaboration and secure coding practices.

Build and maintain data pipelines, warehouses and lakes; design ETL and distributed data architectures; implement processing and analysis algorithms; collaborate with data scientists to deploy ML models; lead or coach teams and ensure data security and governance.

Design, develop and deliver scalable, secure software and deployment pipelines. Collaborate cross-functionally, perform code reviews, apply unit testing and secure coding practices, and drive platform and infrastructure improvements using cloud-native and container technologies.

The Technical Product Owner maximizes product value by managing the backlog, refining user stories, and ensuring alignment with business goals while acting as a liaison with stakeholders.

Provide oversight and production of client and regulatory reports (MiFID II, CTI, PLSA), manage client onboarding and queries, coordinate with AB India production, ensure SLAs and quality controls, support automation and custom reporting (Vermillion), and assist on projects and documentation.

Develop and support secure IoT software applications, APIs, and UIs; build dashboards, ETL/data workflows, and analytics; enable ML/AI capabilities; maintain and modernize legacy code hosted on AWS.

Own end-to-end strategy and execution for HighLevels WhatsApp product including onboarding, templates, Flows, WebRTC calling, Conversation and Voice AI, deliverability, monetization, partner management with Meta, prototyping, customer discovery, and migrations across a large installed base.

Ensure accuracy, completeness, and integrity of Salesforce customer and account data. Build automated validation and enrichment pipelines (SQL/Python), perform large-scale cleansing and deduplication (DemandTools, Data Loader), create monitoring dashboards (Power BI), enforce governance, and apply AI/LLMs to improve matching, classification, and anomaly detection so data never blocks Quote-to-Cash processes.

Analyze complex datasets using SQL, build and maintain Tableau dashboards, perform statistical and predictive modeling with R/Python, identify process improvements, and collaborate with cross-functional teams to deliver actionable business insights.

Support development and maintenance of SQL-based data pipelines and analytics workflows. Assist data standardization, build and optimize data models, dashboards, and reports. Perform ad-hoc analyses, monitor data quality, implement validation logic, and collaborate on cross-functional data and risk projects under mentorship.

Design, develop, and maintain cloud-hosted SaaS web applications for insurance/reinsurance. Build responsive front ends with Angular/TypeScript, develop RESTful APIs in Python/FastAPI, support databases (SQL/NoSQL), create UI automation tests, troubleshoot issues, and incorporate AI to accelerate development and deliver AI-driven features.

Entry-level Product Data Analyst internship supporting product analytics: build and analyze conversion funnels, evaluate A/B tests, create dashboards, respond to ad-hoc data requests, write SQL pipelines, monitor data quality, and translate findings into visual summaries to inform product decisions.

The Integration Consultant will develop integrations between Workforce Optimizer and third-party systems, build data mappings, customize existing integrations, and troubleshoot issues.