Description

You will build and maintain data pipelines within an AWS environment, contributing to the overall data architecture.

Responsibilities

• Design, implement, and debug effective ETL pipelines.
• Collaborate with stakeholders, data architects, and data scientists to improve data quality.
• Optimize data processes using cloud-native services.

Required Skills

• 5+ years of hands-on experience with big data technologies.
• Proficiency in Python, Scala, and SQL.
• Experience with Apache Kafka, Spark, and Airflow.
• Practical knowledge of AWS services including API Gateway, Lambda, Redshift, Glue, and CloudWatch.
• Bachelor's degree in Computer Science.
• Ability to obtain or hold existing SC clearance.

Key Skills

Education

Bachelor's degree in Computer Science