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
Any Graduate