Padmi

Senior Data Engineer Databricks

MumbaiPosted 2 months ago
Infrastructure And DatabasesSeniorFull Time; Regular
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Job role:-Senior Data Engineer Databricks 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 Job role:-Senior Data Engineer Databricks 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

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