Description

>> Designing and scaling enterprise Lakehouse architecture on Databricks

>> Driving data platform standards, performance optimization, and cost efficiency

>> Leading engineering decisions, mentoring teams, and building production-grade data platforms using Spark, Delta Lake, and modern cloud data technologies Requirements: 

>> 8-10 years of Data Engineering experience >> Strong Databricks Apache Spark (PySparkScala) expertise

>> Hands-on experience with Delta Lake and Lakehouse architecture

>> Strong SQL and large-scale data processing experience

>> Experience designing enterprise data platforms data pipelines

>> Experience with cloud platforms (Azure AWS GCP)

>> Strong experience in data modeling (Medallion Architecture BronzeSilverGold)

>> Experience in performance tuning and optimization in Spark Databricks

>> Experience building production-grade scalable data platforms

Key Skills

Education

Any Gradute