Top Data & Analytics Jobs in Pune, MH

Design and implement ETL/data automation using Alteryx and SQL, build Tableau dashboards, develop Power Platform solutions, manage Alteryx Server, gather requirements, deliver end-to-end analytics, and continuously improve reporting and data integration.

Design, implement, and optimize large-scale Hadoop-based data platforms using Cloudera and related tools. Build distributed data pipelines with Spark, manage storage with Ozone/Iceberg, orchestrate workflows with Airflow/NiFi, ensure SLA compliance, drive performance tuning, conduct PoCs, and mentor engineering teams.

Design, build, and maintain scalable batch and near-real-time data pipelines and curated datasets. Enable ML-ready feature datasets, implement reliability patterns, ensure secure data handling and governance, and drive engineering best practices in collaboration with data science, platform, and BI stakeholders.

The Lead, Big Data Analytics & Engineering will oversee data engineering, analytics enablement, and collaboration across teams, focusing on high-quality data platforms and solutions.

Partner with product and engineering to analyze product data, define user stories, build MVP reports, monitor product performance, track KPIs, participate in Agile ceremonies, and contribute to product roadmaps and feature opportunities.

Lead and architect large-scale data engineering initiatives: design cloud-ready ELTL/real-time data platforms, drive AI adoption, ensure SLAs and quality across SDLC, mentor teams, and manage complex projects and vendor selections.

Lead technical design and build scalable data pipelines and platforms to support AI Ops, SRE, and analytics. Set standards for quality, security, and observability, mentor engineers, operationalize models, and contribute to roadmap and documentation for the ONE Data Lake.

Lead architecture and modernization of an enterprise-scale, multi-tenant rewards data platform. Define standards for data modeling, integration, security, and workflow orchestration; design scalable batch and real-time distributed processing; drive cloud migrations, observability, and operational excellence; mentor engineers and influence cross-team architectural decisions.

Lead design and delivery of scalable data pipelines and platforms, manage and mentor a data engineering team, partner with business and analytics to translate requirements, enforce data quality, governance and security, and ensure operational stability and performance for analytics and AI use cases.

Lead design and implementation of an Analytic Foundation and scalable big-data services delivered via APIs. Build data pipelines, analytics and data models, responsive UIs, and production ML/data-driven applications. Ensure high-quality, well-tested code, mentor junior engineers, drive process improvements, and collaborate with product and design teams to deliver customer-focused data solutions.