About the role
Skills: Digital : Python~Digital : PySpark
Descriptions: GX| Python|Pyspark|Databricks / Snowflake / Fabric
Candidate Profile Summary
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Core Technical Expertise:
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Python & PySpark: Strong proficiency in writing scalable, high-performance data processing code and building ETL/ELT pipelines.
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Data Quality & Governance: Experience with GX (Great Expectations) for data validation, testing, and profiling.
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Modern Data Platforms: Hands-on experience with at least one (ideally a combination) of the following cloud data ecosystems:
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Databricks (Lakehouse architecture, Spark optimization)
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Snowflake (Cloud data warehousing, SQL performance tuning)
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Microsoft Fabric (OneLake, Spark compute, data engineering workloads)
Key Responsibilities Expected from this Profile
- Designing, developing, and optimizing large-scale data pipelines using Python and PySpark.
- Implementing data quality frameworks and automated validation tests using Great Expectations (GX).
- Integrating and deploying data solutions on cloud platforms like Databricks, Snowflake, or Microsoft Fabric.
- Collaborating with cross-functional teams (Data Engineers, Data Analysts, and Architects) to deliver robust data infrastructure.
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