Design and implement data pipelines using Databricks and Apache Spark.
Integrate Databricks with data lakes, databases, and cloud services (Azure, AWS, or GCP).
Optimize Spark jobs and cluster configurations for performance and cost-efficiency.
Collaborate with data scientists, analysts, and engineers to deploy AI/ML and analytics models.
Ensure data quality, security, and governance compliance.
Automate ETL/ELT workflows and data transformations.
Monitor and troubleshoot Databricks jobs and clusters.
Support reporting and visualization using tools like Power BI, Tableau, or Looker.
Databricks Engineers in Tata Group generally 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