Top Data & Analytics Jobs in Pune, MH

Administer and optimize Cloudera CDP/CDH platforms; develop and deploy PySpark/Python data processing; build CI/CD pipelines with Jenkins and GitHub/Bitbucket; integrate SAST tools; tune Hive/Impala SQL; monitor platform health, perform upgrades, troubleshoot, and implement security and governance controls.

Lead design and delivery of GCP data platforms using BigQuery, Pub/Sub, and Dataflow. Architect high-volume ingestion and ETL pipelines, drive cloud migrations, mentor engineers, ensure security, cost optimization, and stakeholder alignment to deliver analytics and ML-ready data solutions.

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

Develop, optimize, and maintain SAS programs and ETL workflows using Base SAS, Macros, PROC SQL and SAS DI Studio. Automate reporting, tune SAS servers, schedule jobs with LSF, extract/cleanse banking data, load into enterprise warehouses, collaborate with clients, QA, and support teams, and produce scalable, maintainable solutions.

Support Finance data quality and governance for regulatory compliance. Document data flows, onboard and manage data quality issues, collaborate with IT and finance SMEs, monitor datasets using tools, and drive continuous improvement and remediation to meet policy and KCIs.

The role involves cleaning data, running machine learning models, developing data models, managing datasets, building dashboards, and documenting requirements.

As a POD Lead, you'll oversee data migration projects, utilizing Agile and Scrum methodologies, while leveraging your data expertise to drive transformation in financial services.

The Business Analyst will support the Trading Wind Down programme by managing project milestones, collaborating with stakeholders, tracking activities, and generating reports.

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.

The Data Analyst role involves defining source data, mapping data sets, reporting inconsistencies, assisting with data migrations, and managing stakeholder expectations. A focus on optimal solutions and strong communication skills in a banking context is essential.