Job Description
Job Location:- Abu Dhabi/Pune/Gurgaon/Bhopal/Chennai/Mumbai
Experience:-5+ Years
Roles & Responsibilities:-
• Design, build, and optimize scalable data pipelines using Databricks (Spark, Delta Lake)
• Develop and maintain ETL/ELT workflows for batch and streaming data
• Work with structured and semi-structured data from multiple sources
• Optimize Spark jobs for performance, cost, and reliability
• Implement data quality, validation, and monitoring frameworks
• Collaborate with data scientists, analysts, and stakeholders to deliver analytics-ready datasets
• Manage data models in data lakes and lakehouse architectures
• Ensure data security, governance, and compliance best practices
Skills & Requirements:-
• 5+ years of experience as a Data Engineer
• Strong hands-on experience with Databricks & Apache Spark
• Proficiency in Python and/or Scala, SQL
• Experience with Delta Lake, Lakehouse architecture
• Strong knowledge of ETL/ELT, data modeling, and performance tuning
• Experience with cloud platforms (AWS / Azure / GCP)
• Familiarity with streaming frameworks (Kafka, Structured Streaming)
• Understanding of data governance, security, and access controls
• Excellent problem-solving and communication skills
💡 Quick Summary
Seeking a career-building opportunity? The Senior Data Engineer – Databricks position is now open for candidates interested in the IT Engineer & Developer Jobs sector. This role in Mumbai offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in IT Engineer & Developer Jobs is a plus.