Top Data & Analytics Jobs in Pune, MH

The Senior Data Engineer will gather requirements, document business needs, manage projects, drive user acceptance testing, and facilitate agile methodologies within data engineering applications in the banking sector.

The Data Engineer will design, develop, and maintain ETL/ELT data pipelines, leveraging PySpark and Databricks to process large datasets, ensuring data quality, reliability, and performance optimization.

Build, test, and maintain GCP-based data pipelines and ETL/ELT processes using Python and SQL. Optimize BigQuery queries, design data models, ensure data quality, troubleshoot pipeline issues, document solutions, and collaborate with analysts and engineers to deliver scalable data warehouse solutions.

The GCP Data Architect will lead data platform implementations, optimize data pipelines, mentor teams, and drive stakeholder alignment across various functions.

Design and deliver high-quality conceptual, logical, and physical data models for financial services. Maintain accurate metadata and data artifacts, bridge business and technical teams, follow SDLC/Agile, manage stakeholders, and work independently in fast-paced projects using SQL, GCP BigQuery, Erwin, and related tools.

The Bigdata Tester validates data integrity in Big Data environments, focusing on SQL validation, automation, and data delivery quality.

Seeking an experienced GCP Data Engineer to develop, maintain data pipelines, and optimize SQL queries in BigQuery, collaborating with teams to deliver data solutions.

This role involves analyzing data using Python and SQL, focusing on data remediation for financial services clients.

The Bigdata Tester validates data pipelines within enterprise-scale environments, focusing on SQL validation, Spark testing, and automation to ensure data quality.

The Senior Data Analyst will define source data, create data mapping, report inconsistencies, assist with data migration, and manage stakeholder expectations while delivering insights in financial services.