Top SQL Jobs in Pune

The CRM Developer & Data Analyst manages MS Dynamics CRM, develops Power Platform solutions, and generates Power BI reports to enhance commercial objectives and ensure data quality and compliance.

Responsible for leading QA efforts for the Large Holdings application in compliance business, ensuring high-quality software through Agile methodologies, cross-functional collaboration, and test strategy definition.

Design, develop, and deploy production ML and generative AI solutions including RAG pipelines and LLM fine-tuning. Build scalable Python-based ML pipelines, implement model evaluation and monitoring, run experiments/A-B tests, collaborate with engineering and product, and contribute to AI system architecture.

Design, develop, maintain, and support data capabilities for Performance Engineering products. Collaborate with product managers, designers, and developers to define requirements and specifications. Optimize database schemas and queries, evaluate and adopt new data technologies, and contribute technical leadership toward AspenTech's Asset Optimization strategy.

The Senior Product Software Engineer will lead in developing scalable web applications with a focus on Azure and full stack technologies, ensuring high-quality standards and mentoring junior developers.

The role involves designing and building data systems using various technologies, especially within Microsoft Azure, and requires experience in system integration and data warehousing.

The A2R Subject Matter Expert oversees Account to Report processes, provides training and support for operations, and identifies process improvements.

Design, develop, and maintain scalable Playwright/Cypress automated test frameworks and suites for web applications. Create and run functional, regression, integration, smoke, and end-to-end tests; integrate tests into CI/CD; debug failures; document defects and quality risks; mentor junior QA engineers; and improve automation coverage, reliability, and test speed.

Customer-facing technical role deploying AI-enabled solutions into enterprise environments: prototype, integrate, configure, and deliver AI-native workflows, ETL pipelines, dashboards, and tooling to improve ESG reporting, automation, and operational efficiency.

Lead insights and analytics for Japan & Korea, develop strategy, manage a team, run qualitative and quantitative consumer research, deliver predictive analytics and visualizations, partner with cross-functional stakeholders, present insights to senior leadership, and ensure regulatory compliance.

Lead design and delivery of cloud-native, event-driven platforms and applications. Drive full lifecycle development, champion engineering best practices, implement production-ready solutions, and build AI/LLM capabilities like RAG, embeddings, and model CI/CD across multi-cloud environments.

Lead and develop a support and operations team to improve SLA compliance, KPIs, and customer satisfaction. Drive process improvements, cross-functional collaboration, training, and technical initiatives (SQL, reporting, APIs, frontend/backend) to deliver measurable business impact.

Senior Oracle DBA focused on performance engineering and database modernization. Lead architecture and optimization efforts across development lifecycle, implement CI/CD and deployment tooling, migrate and modernize read-optimized databases, troubleshoot and tune queries, and mentor engineering teams to adopt performance-aware practices and modern data patterns.

Design and build a greenfield, multi-layer data warehouse and semantic metrics layer; separate analytics from OLTP; ensure data quality, traceability, tenant isolation, and high SLAs; enable linking of structured records to drone imagery/video; deliver self-service data access, observability, and infrastructure automation to scale across products and tenants.

Build and ship native Android features for an AI-enabled neobank using Kotlin. Implement clean user journeys for financial services, integrate backend APIs, optimize performance and reliability, use analytics and on-device AI (TensorFlow Lite), and collaborate with product and design to improve UX and stability.

Build and ship native Android features for an AI-enabled neobank using Kotlin. Integrate backend APIs, improve performance and reliability, collaborate with product and design to simplify user journeys, and apply on-device AI where it enhances UX. Use analytics and production feedback to iterate.

Support, monitor, and improve production Agentic AI and ML models for finance. Build data pipelines, perform EDA, optimize prompts and agents, troubleshoot drift, integrate models via APIs, and produce KPI-driven insights to align models with financial business requirements.

Maintain, monitor, and improve production Agentic AI and ML models for finance. Perform EDA, build data pipelines in Python/SQL, design and optimize prompts and RAG/LLM pipelines, support model-serving APIs, troubleshoot model drift, and produce KPI-driven insights for operational adoption.

Own the Events & Transcripts content data pipeline: define requirements, refine collection and deduplication tools with engineering, ensure data integrity and methodology, launch content to market, produce documentation and training, and deliver competitive intelligence to evolve product vision.

Own and automate end-to-end incentive calculation pipelines, translate business rules into auditable data workflows, build monitoring and reconciliation dashboards, ensure accuracy and auditability across multiple products and countries, and partner with Sales, Finance, and field teams to resolve discrepancies and support escalations.

Install, configure, maintain, monitor, and troubleshoot databases; write and optimize SQL and application performance; manage backups, restores, and disaster recovery; participate in production support, incident management, DevOps collaboration, and log/error monitoring.

Build and maintain end-to-end data pipelines using PySpark and SQL on Databricks/Delta. Establish data modeling and pipeline best practices, create AI-ready analytical datasets, troubleshoot pipeline issues, and collaborate with stakeholders to embed business logic and optimize reliability, efficiency, and performance.

Customer-facing Deployment Engineer responsible for installing, configuring, upgrading, and supporting Cellebrite solutions across on-prem, cloud, and hybrid environments. Performs pre/post deployment validation, troubleshooting, automation with IaC, documentation, user training, incident response, system upgrades, and works closely with engineering, product, sales, and customer success. Supports India/APAC customers with up to 50% travel.

The Revenue Operations Analyst will manage revenue analytics for publisher accounts, create reports, identify growth opportunities, and collaborate with teams to optimize monetization strategies.

The Customer Services Analyst will support customer queries, troubleshoot system failures, monitor data quality, and enhance customer satisfaction through effective communication and problem-solving.