About the Role
Qualifications
Strong hands-on experience with
Databricks (PySpark, Delta Lake, notebooks)
– core requirement
Proven ability to build and optimize
ETL/ELT data pipelines
in a lakehouse environment
Experience with
Azure Data Lake Storage (ADLS Gen2)
for scalable data storage
Hands-on development using
Azure Data Factory (ADF)
for orchestration and pipelines
Experience with
Azure Functions
for serverless data processing
Solid understanding of
lakehouse architecture (Databricks + ADLS integration)
Strong proficiency in
Python and SQL
for data transformation and pipeline logic
Experience with
data modeling, partitioning, and performance optimization
Familiarity with
Databricks Unity Catalog (data governance, access control)
Experience integrating Databricks with
Strong hands-on experience with
Databricks (PySpark, Delta Lake, notebooks)
– core requirement
Proven ability to build and optimize
ETL/ELT data pipelines
in a lakehouse environment
Experience with
Azure Data Lake Storage (ADLS Gen2)
for scalable data storage
Hands-on development using
Azure Data Factory (ADF)
for orchestration and pipelines
Experience with
Azure Functions
for serverless data processing
Solid understanding of
lakehouse architecture (Databricks + ADLS integration)
Strong proficiency in
Python and SQL
for data transformation and pipeline logic
Experience with
data modeling, partitioning, and performance optimization
Familiarity with
Databricks Unity Catalog (data governance, access control)
Experience integrating Databricks with
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