About the Role
We're looking for a Data Engineer with strong hands-on experience in building data pipelines using Spark and Azure.
Requirements
3–5 years of Data Engineering experience (5 years preferred)
Candidates with 5 years total experience and at least 3 years relevant hands-on technical experience may still be considered
Core / Non-Negotiable Skills
Strong Spark experience (PySpark or Scala) and Python
Hands-on experience with Azure Databricks and Azure Data Factory
Experience implementing Change Data Capture (CDC) concepts
At least 1–2 years working within the Azure data ecosystem
Nice to Have (Negotiable)
SQL database experience
AWS exposure
Requirements
3–5 years of Data Engineering experience (5 years preferred)
Candidates with 5 years total experience and at least 3 years relevant hands-on technical experience may still be considered
Core / Non-Negotiable Skills
Strong Spark experience (PySpark or Scala) and Python
Hands-on experience with Azure Databricks and Azure Data Factory
Experience implementing Change Data Capture (CDC) concepts
At least 1–2 years working within the Azure data ecosystem
Nice to Have (Negotiable)
SQL database experience
AWS exposure
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