Top SQL Jobs in Pune

Lead architecture and technical design for enterprise SaaS and hybrid platforms. Drive secure, scalable, reliable implementations across distributed systems, mentor engineers, guide design and code reviews, improve engineering standards (CI/CD, testing, observability), and coordinate with product and cross-functional teams to deliver complex initiatives.

Collaborate with game teams to deliver actionable insights that increase user acquisition, engagement, and monetization. Design and instrument analytics events and queries, run exploratory analyses and competitor analysis, generate reports, and design/interpret A/B tests to evaluate game features and offers.

Design, train, optimize, and productionize deep learning models for speech/audio and computer vision. Build scalable training pipelines, perform model inference optimization, integrate models into production services, monitor performance, and collaborate with software and product teams to deliver low-latency, reliable ML features.

Build and ship AI-powered features for fashion, beauty, and home using large-scale product, image, and consumer data. Prototype with LLMs, agents, multimodal and CV models, run experiments, measure impact, and take models end-to-end from hypothesis to production while collaborating with product, design, and business teams.

Build and scale a full-stack Next.js application tracking PRs, CI health, test parity, and benchmarks across AI accelerator open-source projects. Integrate GitHub APIs and webhooks, design PR/metrics schemas, visualize results, and produce technical digests and reports on cross-accelerator parity and performance trends.

The Senior Associate in Salesforce Effectiveness will handle US pharma commercial analytics, deliver HCP targeting outputs, and collaborate with commercial teams using analytics tools.

Develop and maintain Python applications, collaborate with teams, write clean code, troubleshoot, participate in code reviews, and stay updated on industry trends.

Own lifecycle segmentation, content, and engagement to drive acquisition, retention, and upsell. Build HubSpot workflows, run data-driven experiments, use AI to scale messaging, track KPIs (open rates, CTR, CVR, pipeline), and deliver dashboards and playbooks to optimize conversion and renewals.

As an Automation QA Engineer, you'll design and implement test frameworks for Oracle projects, focusing on automation testing for APIs and web interfaces, collaborating with development teams to identify and resolve defects.

Lead design and delivery of end-to-end SAP technical architectures on cloud (S/4HANA, ECC, BW/4HANA). Drive S/4HANA transformations, migrations, upgrades, HA/DR, and RISE with SAP implementations. Govern multiparty delivery, mentor Basis and cloud teams, implement IaC/automation, and translate business needs to technical solutions while engaging CxO stakeholders.

Lead analytics for oncology patient-journey and line-of-therapy mapping using structured claims datasets. Perform EDA, HEOR/HCRU analyses, build SQL pipelines, automate analyses with Python and Excel, create client-facing dashboards and presentations, ensure data governance, and manage stakeholder collaboration and project delivery.

As a Principal Software Engineer, develop and optimize distributed database solutions, focusing on replication, sharding, and performance across cloud and on-prem environments, while ensuring code quality and leveraging tools for debugging and profiling.

Deliver live instruction, on-demand tutoring, video explanations, and QA reviews for Data Analytics learners. Mentor new experts, maintain QA standards (≥80%), contribute curriculum updates, and support learner engagement and academic quality improvements.

The Senior CRM Manager will generate hypotheses, create business specifications, launch experiments, analyze results, and improve CRM processes to enhance customer retention and loyalty.

The IT Operations Engineer will manage AI and Data platforms, ensure operational health, lead incident resolution, and automate tasks while collaborating with engineering teams.

Lead analytics on oncology patient journeys and line-of-therapy using large claims datasets (DRG, IQVIA, McKesson, Symphony). Perform EDA, HEOR/HCRU analyses, build SQL pipelines, automate analyses with Python and Excel, and present client-facing insights via dashboards and PowerPoint while ensuring data governance and reproducibility.

Design, develop, test, and deliver scalable, secure software solutions. Collaborate with product, design, and engineering peers, participate in code reviews, improve infrastructure and deployment pipelines, follow secure coding and unit testing practices, and contribute to technical communities and continuous improvement.

Lead design, development, and delivery of scalable Java/J2EE banking applications. Collaborate cross-functionally, enforce secure coding and testing practices, mentor teams, and drive technical decisions and performance tuning while leveraging modern frontend and cloud technologies.

The Software Engineer will design, develop, and enhance software solutions, collaborating with teams and ensuring code quality while adhering to secure practices.

Develop and maintain responsive web applications using React.js and Node.js. Design and consume RESTful APIs, write clean code, and build automated tests with Playwright. Perform unit, integration, and end-to-end testing, debug and optimize performance, participate in code reviews, and work in Agile/Scrum teams.

Design, develop and deliver high-quality, secure, and testable software; collaborate with cross-functional teams; participate in code reviews; implement unit and automated tests across APIs, Web UI and ETL pipelines; follow CI/CD and secure coding practices; contribute to technical communities and may lead or supervise team members.

The Backend Developer designs and implements secure APIs, focusing on entitlement enforcement and audit logging, utilizing AI assistance in development.

Design, build and maintain data pipelines, data warehouses and data lakes. Develop processing and analysis algorithms, collaborate with data scientists on ML deployments, lead/supervise teams, engage stakeholders, and ensure data security, quality and governance.

Design, build, and automate metrics, dashboards, and experiments to generate product and growth insights. Collaborate with engineering and product teams to improve data pipelines, report KPIs at scale, leverage AI to build workflows, and communicate results to technical and non-technical stakeholders.

Design, build and deploy production AI agents, workflows and data integrations on Microsoft AI platform. Collaborate with stakeholders, implement DevOps/MLOps, monitor models, ensure governance and reusable patterns, and continuously improve solutions.