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About the Role
Responsibilities
Architect and develop large‑scale, mission‑critical BI and data platform solutions serving millions of users across the globe, leveraging AWS native technologies including Athena, Redshift, Glue, QuickSight, and S3.
Lead the design and implementation of robust data pipelines, data lakes, and data warehouses using modern architectures (Iceberg, Parquet, columnar formats) to support real‑time and batch analytics at scale.
Drive technical strategy and architectural decisions for the BI platform, including data modeling, query optimization, performance tuning, and cost optimization across AWS services.
Build and maintain sophisticated back‑end services, ETL/ELT workflows, and front‑end analytics applications using Python, SQL, React, and modern web technologies.
Design and implement efficient data storage solutions across relational databases (Redshift, PostgreSQL) and non‑relational databases (DynamoDB, S3), ensuring optimal pe...
Architect and develop large‑scale, mission‑critical BI and data platform solutions serving millions of users across the globe, leveraging AWS native technologies including Athena, Redshift, Glue, QuickSight, and S3.
Lead the design and implementation of robust data pipelines, data lakes, and data warehouses using modern architectures (Iceberg, Parquet, columnar formats) to support real‑time and batch analytics at scale.
Drive technical strategy and architectural decisions for the BI platform, including data modeling, query optimization, performance tuning, and cost optimization across AWS services.
Build and maintain sophisticated back‑end services, ETL/ELT workflows, and front‑end analytics applications using Python, SQL, React, and modern web technologies.
Design and implement efficient data storage solutions across relational databases (Redshift, PostgreSQL) and non‑relational databases (DynamoDB, S3), ensuring optimal pe...
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