Design and implement ETL/ELT pipelines using Databricks and Apache Spark.
Integrate Databricks with data lakes, SQL/NoSQL databases, and cloud platforms (Azure, AWS, GCP).
Optimize Spark jobs and cluster configurations for performance and cost efficiency.
Collaborate with data scientists, data engineers, and analysts to deploy AI/ML and analytics solutions.
Ensure data quality, security, and governance compliance.
Monitor and troubleshoot Databricks clusters and jobs.
Support reporting and visualization via Power BI, Tableau, or other BI tools.
Databricks Engineers in Tata Group typically receive:
Provident Fund (PF) & Gratuity
Health & Life Insurance
Annual Performance Bonus
Paid Leave & Holidays
Training & Certification Sponsorship (Databricks, Spark, Cloud, AI/ML)
Opportunities to work on enterprise-scale cloud analytics and AI projects
🏢 Tata Group – Overview Founded: 1868 by Jamsetji Tata Headquarters: Mumbai, India Chairman (as of 2025): Natarajan Chandrasekaran Type: Indian multinational conglomerate Presence: Over 100+ countries Employees: Over 93... Read More