Description

You will design and build data solutions within the AWS environment.

This role is remote.

Responsibilities

• Design and optimize ETL pipelines into Amazon Redshift.
• Implement distributed data processing using Spark, AWS Glue, or EMR.
• Model data structures, including star/snowflake schema design and dimensional modeling.
• Orchestrate data workflows using Airflow, Step Functions, and Lambda.
• Tune Amazon Redshift performance and schema design.

Required Skills

• 8+ years experience in data warehousing or data mesh implementations.
• 4+ years experience specifically in the AWS cloud ecosystem.
• Proficiency in Python, PySpark, and SQL.
• Strong hands-on expertise with Spark and distributed data processing.
• Experience with Amazon Redshift performance tuning and schema design.
• Solid background in Data Analysis and Data Warehousing concepts.
• Familiarity with Iceberg tables.
• Bachelor's degree required.

Key Skills

Education

Bachelor's degree