- Overall experience of 8 years in data warehousing and/or data mesh implementations with 4 years in AWS cloud ecosystem
- Strong experience with distributed data processing (Spark AWS Glue EMR or equivalent).
- Hands-on expertise with data modeling ETL pipelines and performance optimization.
- Strong hands-on expertise in building and optimizing ETL pipelines into Amazon Redshift
- Proficiency in Python PySpark and SQL; familiarity with Iceberg tables preferred.
- Solid background in Data Analysis and Data Warehousing concepts (star/snowflake schema design dimensional modeling and reporting enablement).
- Orchestration experience with Airflow Step Functions and Lambda
- Experience with Redshift performance tuning schema design and workload management.
Overall experience of 8 years in data warehousing and/or data mesh implementations with 4 years in AWS cloud ecosystem Strong experience with distributed data processing (Spark AWS Glue EMR or equivalent). Hands-on expertise with data modeling ETL pipelines and performance optimization. Strong hand...
- Overall experience of 8 years in data warehousing and/or data mesh implementations with 4 years in AWS cloud ecosystem
- Strong experience with distributed data processing (Spark AWS Glue EMR or equivalent).
- Hands-on expertise with data modeling ETL pipelines and performance optimization.
- Strong hands-on expertise in building and optimizing ETL pipelines into Amazon Redshift
- Proficiency in Python PySpark and SQL; familiarity with Iceberg tables preferred.
- Solid background in Data Analysis and Data Warehousing concepts (star/snowflake schema design dimensional modeling and reporting enablement).
- Orchestration experience with Airflow Step Functions and Lambda
- Experience with Redshift performance tuning schema design and workload management.
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