Top Data & Analytics Jobs in Pune, MH

Develop and maintain Azure Databricks data pipelines using PySpark, Spark SQL, SQL, and Delta Lake. Support Informatica-to-Databricks modernization and HR data integrations, build source-to-target mappings and dimensional models, perform profiling, testing, reconciliation, and defect resolution, and create technical documentation. Apply data governance and access controls through Unity Catalog, participate in agile ceremonies and code reviews, and escalate risks while working under senior direction.

Designs and deploys scalable Azure Databricks data pipelines using PySpark, Spark SQL, and Delta Lake across medallion layers. Builds HR data models, source-to-target mappings, reconciliation controls, governance, lineage, documentation, and data quality processes. Modernizes legacy Informatica and SQL integrations, including Oracle HCM feeds. Collaborates with distributed agile teams, mentors junior engineers, and supports production cutovers for sensitive employee data.

Designs, builds, and maintains scalable batch and real-time data pipelines across Azure and on-premises environments. Develops data lakes, warehouses, marts, and Medallion architectures using Spark and modern big data technologies. Ensures pipeline reliability, performance, security, governance, privacy, and data quality while collaborating with business, technology, analytics, DevOps, and data governance teams. Supports platform modernization and continuous improvement.

Designs and delivers scalable data engineering solutions across Azure and on-premises environments. Builds batch and real-time ETL/ELT pipelines, data lakes, warehouses, marts, and streaming platforms using Spark and related Big Data technologies. Leads architecture, technical design, optimization, governance, and end-to-end implementation while ensuring quality, security, reliability, and performance. Collaborates with cross-functional stakeholders, mentors data engineers, and communicates technical recommendations to business and technology audiences.

Leads the design, development, and maintenance of enterprise-scale batch and real-time data pipelines across Azure and on-premises environments. Builds scalable ingestion and processing frameworks, optimizes reliability and performance, and ensures data quality, governance, security, and compliance. Provides solution architecture, technical leadership, stakeholder collaboration, mentoring, and engineering standards adoption across complex programs.