Description

Must-Have Skills:

12+ years of Data Engineering experience

Extensive hands-on expertise in Databricks, Apache Spark, PySpark & SQL

Proven experience with cloud platforms – Azure preferred (AWS acceptable)

Strong background in ETL/ELT, data lakes, and large-scale data processing

Familiarity with Airflow or Azure Data Factory (ADF)

 Databricks Certification is a plus

What We’re Looking For:

 A sharp mind with strong debugging and performance tuning skills

 Solid understanding of data architecture and pipeline design

 Proven ability to work independently in a fast-paced remote environment

Education

Any Graduate