Description

Design and scale data solutions that drive strategic decision-making through advanced analytics, ETL development, and data modeling.

This role is on-site.

Responsibilities

• Design and maintain scalable ETL pipelines processing billions of records using Apache Iceberg, S3, and distributed query engines.
• Develop and optimize data workflows leveraging AWS services including Redshift, Athena, Glue, Lambda, and EMR.
• Build and maintain data lakes and datamarts consolidating data from disparate sources such as relational databases and logging systems.
• Develop executive-facing dashboards and reporting solutions using QuickSight, Tableau, or Power BI to support business reviews.
• Apply statistical techniques and predictive models to solve business problems and guide strategic planning.

Required Skills

• 5+ years of experience in Business Intelligence, Data Engineering, or Analytics roles.
• Advanced SQL skills with experience working on large-scale datasets (billions of rows).
• Strong experience with AWS data stack: Redshift, S3, Athena, Glue, and Lambda.
• Proficiency in Python for data processing and automation.
• Experience building ETL pipelines and managing the full data lifecycle.
• Strong experience with BI tools: QuickSight, Tableau, or Power BI.
• Experience with data modeling, data warehousing, and datamarts.

Preferred Skills

• Experience with distributed data processing frameworks (Spark, Trino, EMR) and modern table formats (Apache Iceberg, Delta Lake).
• Experience with Airflow or workflow orchestration tools.

Key Skills

Education

Any Graduate