Top SQL Jobs in Pune

The Tech Lead for LearningConnector will design and develop enterprise learning software, focusing on system integration, quality, performance, and user experience while collaborating with stakeholders and enhancing platform capabilities.

Lead design, development, and deployment of Ignition-based SCADA/IIoT solutions. Architect Ignition systems, configure PLC/SCADA networks, perform commissioning, integrate IT/OT, mentor engineers, and support business development and client engagements.

Design and architect AI/ML solutions on GCP, lead end-to-end AI projects, build scalable data pipelines and training workflows, advise on governance/security, optimize performance and cost, collaborate with engineers/data scientists/stakeholders, and provide technical leadership and mentorship.

Lead requirement gathering and configure Oracle AR and Project Accounting (PA), design CEMLI solutions, develop PL/SQL and Forms/Reports, build interfaces/APIs, perform performance tuning, provide Tier 2/3 production support, and manage testing (UT/SIT/UAT).

Configure and customize Oracle Fusion PD and PIM; modernize and build Redwood-compliant UIs using Oracle Visual Builder; design REST/SOAP integrations; develop and optimize OTBI reports and dashboards; support user adoption, testing, security roles, and Fusion data-related solutions.

Senior Data Engineer responsible for designing, building, and optimizing Azure data pipelines and ETL/ELT processes using ADF and Databricks. Implement Spark-based Lakeflow declarative pipelines, develop PySpark and SQL transformations, and integrate agentic AI components. Offshore role requiring 5–12 years' experience and immediate to 30-day availability.

Design, build, and optimize ETL pipelines and data warehouses using SQL, AWS Glue, and S3. Investigate and resolve data issues, develop Python-based solutions and small web apps, and own requirements, design, and end-to-end delivery for change requests.

Build and productionize quantitative models and ML pipelines for equity research. Source and engineer financial features, develop predictive models, collaborate with analysts to translate methodologies, maintain data pipelines, and document model assumptions to institutional standards.

Own and scale participant acquisition for a global B2C gig marketplace using non-paid-media channels: organic loops, referrals, community partnerships, agentic outreach, automation, and lightweight analytics. Run weekly experiments, optimize metrics like cost per activated participant and repeat-task rate, and unlock new geographies driven by client demand.

Analyze user behavior, feature adoption, and retention across a B2B SaaS platform to generate evidence-based product insights. Track journeys, run cohort and funnel analyses, support A/B testing, define product KPIs, ensure data accuracy, and provide structured recommendations to inform roadmap and improve adoption and retention.

Analyze e-commerce, finance, growth, and operational performance to deliver actionable insights. Build forecasting and predictive models, evaluate projects and KPIs, support stakeholder decision-making, and foster a data-driven culture to improve business performance across departments.

Build and scale an AI-powered stock research platform: design data pipelines ingesting SEC and market data, develop backend APIs, implement semantic search with embeddings and vector DBs, improve production reliability and performance, and own features end-to-end from design through deployment and monitoring.

Work on a TypeScript full‑stack product (Next.js/React) with an AI pipeline using Anthropic Claude, real‑time collaboration (Liveblocks/Yjs/Tiptap), and Cloud Run background jobs. Build UI features, improve AI agent prompts/schemas/output rendering, write and maintain unit tests, read docs to unblock yourself, and grow to own product slices.

Design and architect cloud-native data platforms and analytics ecosystems (including lakehouse and data mesh). Lead discovery workshops, translate requirements into scalable secure solutions, advise clients, support presales/RFPs, guide implementation teams, and promote standards, governance, and reusable assets across Data & Analytics and AI projects.

Lead design and architecture for accounting and API services, deliver enterprise-grade, secure, and scalable systems, mentor and manage junior developers, own production monitoring and incident resolution, and collaborate with product, UX, and QA to meet timelines and quality standards.

Provide 24x7 NOC support for managed database and application infrastructure: monitor systems, respond to incidents, trigger operational procedures, escalate per protocol, perform daily proactive checks, troubleshoot and maintain servers, communicate status to customers, participate in shift rotations and on-call coverage, and contribute automation and process improvements.

Senior Analytics contributor responsible for building optimized SQL queries, scalable datasets and pipelines, performing segmentation, campaign and churn analyses, supporting client discovery, validating analytics outputs, estimating project effort, and identifying risks and dependencies for enterprise clients.

Lead data science initiatives using advanced statistical techniques and machine learning to produce actionable insights. Partner with cross-functional teams to design data-driven solutions, manage and ensure integrity of large datasets, develop predictive models to forecast trends, and communicate results to stakeholders while staying current on emerging technologies.

Design, deploy, and monitor card issuer-side and ATO risk controls. Build detection rules, extract risk features, tune models/pipelines, analyze attack patterns, integrate third-party solutions, and collaborate with payments, data, and engineering teams to reduce fraud and optimize controls.

Investigate, triage, and resolve complex technical issues escalated from Tier 1. Diagnose root causes via logs, databases, and system behavior; communicate with customers and engineering; document resolutions and improve support automation and tooling.

Lead digital transformation strategy and governance across multiple enterprise programs. Partner with executives to define roadmaps, drive AI/automation and analytics initiatives, ensure delivery excellence, mentor consulting teams, establish governance, and support business growth through solutioning and capability development.

Lead AI-first product work across discovery, prototyping, documentation, execution, automation, and analytics. Work with stakeholders to identify pain points, build LLM-based proofs of concept, create handoff-ready specs, coordinate releases and rollouts, and track adoption. Automate repetitive processes and use data to drive product usage. Role is remote India with travel to Sun King markets.

Build and operate automated data quality checks, monitoring, alerting, and dashboards; integrate quality into data pipelines and governance tooling; automate anomaly detection and support auditors, analysts, and stewards to surface issues in near-real-time.

Design and execute risk-based audits and sampling of classification, reference, and governed datasets. Test outputs versus rules and thresholds, quantify quality across dimensions, investigate root causes, and produce audit findings, scorecards, and assurance reports to improve processes and maintain audit evidence.

The Senior Data Engineer will build and optimize data pipelines in Azure Databricks, migrate existing pipelines from Azure Synapse, and design scalable data models to support a financial services client's data platform modernization.