Key Responsibilities
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Design build and maintain scalable data pipelines using AWS cloud services.
-
Develop and optimize ETL/ELT workflows for structured and semi-structured data.
-
Write complex SQL queries for data transformation validation and analytics.
-
Build data processing jobs using Python and PySpark.
-
Integrate and manage data in Snowflake cloud data warehouse.
-
Support Power BI dashboards by delivering curated analytics-ready datasets.
-
Ensure data quality governance performance and security best practices.
-
Collaborate with analytics reporting and business teams in an agile environment.
Required Skills
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SQL (advanced querying performance tuning)
-
Data Engineering & Data Pipelines
-
Python PySpark
-
Snowflake
-
AWS Services (S3 Glue EMR Lambda Redshift any combination)
-
Power BI (data modeling performance optimization support)
Good to Have
Key Responsibilities Design build and maintain scalable data pipelines using AWS cloud services. Develop and optimize ETL/ELT workflows for structured and semi-structured data. Write complex SQL queries for data transformation validation and analytics. Build data processing jobs using ...
Key Responsibilities
-
Design build and maintain scalable data pipelines using AWS cloud services.
-
Develop and optimize ETL/ELT workflows for structured and semi-structured data.
-
Write complex SQL queries for data transformation validation and analytics.
-
Build data processing jobs using Python and PySpark.
-
Integrate and manage data in Snowflake cloud data warehouse.
-
Support Power BI dashboards by delivering curated analytics-ready datasets.
-
Ensure data quality governance performance and security best practices.
-
Collaborate with analytics reporting and business teams in an agile environment.
Required Skills
-
SQL (advanced querying performance tuning)
-
Data Engineering & Data Pipelines
-
Python PySpark
-
Snowflake
-
AWS Services (S3 Glue EMR Lambda Redshift any combination)
-
Power BI (data modeling performance optimization support)
Good to Have
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