Key Responsibilities -
Design develop and maintain scalable ETL/ELT data pipelines using PySpark and Databricks
-
Process and transform large volumes of structured and unstructured retail data
-
Build and optimize data models to support reporting and analytics
-
Develop interactive dashboards and reports using Power BI
-
Collaborate with business stakeholders to translate retail requirements into technical solutions
-
Ensure data quality performance tuning and cost optimization
-
Implement data security governance and best practices
-
Work closely with Data Analysts BI teams and cloud architects
-
Support production issues and provide ongoing enhancements
Required Skills & Qualifications -
Strong experience as a Data Engineer in enterprise environments
-
Hands-on expertise in Databricks and PySpark
-
Solid experience with Power BI (DAX data modeling performance tuning)
-
Strong SQL skills
-
Experience working with retail datasets (sales POS inventory merchandising customer data)
-
Experience with data warehousing concepts and data lake architectures
-
Strong problem-solving and communication skills
Key Responsibilities Design develop and maintain scalable ETL/ELT data pipelines using PySpark and Databricks Process and transform large volumes of structured and unstructured retail data Build and optimize data models to support reporting and analytics Develop interactive dashboards and re...
Key Responsibilities -
Design develop and maintain scalable ETL/ELT data pipelines using PySpark and Databricks
-
Process and transform large volumes of structured and unstructured retail data
-
Build and optimize data models to support reporting and analytics
-
Develop interactive dashboards and reports using Power BI
-
Collaborate with business stakeholders to translate retail requirements into technical solutions
-
Ensure data quality performance tuning and cost optimization
-
Implement data security governance and best practices
-
Work closely with Data Analysts BI teams and cloud architects
-
Support production issues and provide ongoing enhancements
Required Skills & Qualifications -
Strong experience as a Data Engineer in enterprise environments
-
Hands-on expertise in Databricks and PySpark
-
Solid experience with Power BI (DAX data modeling performance tuning)
-
Strong SQL skills
-
Experience working with retail datasets (sales POS inventory merchandising customer data)
-
Experience with data warehousing concepts and data lake architectures
-
Strong problem-solving and communication skills
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