Description

Lead the design and implementation of cloud-native data pipelines and big data architectures on AWS.

Responsibilities

• Design and implement data pipelines using AWS cloud-native services.
• Develop scalable ETL workflows to support large-scale data initiatives.
• Optimize data processes using AWS monitoring and orchestration tools.
• Collaborate with stakeholders, data architects, and data scientists to improve data quality.

Required Skills

• 8+ years of experience in big data technologies and data engineering.
• Proficiency in Python, Scala, and SQL.
• Hands-on experience with Apache Kafka, Spark, and Airflow.
• Deep knowledge of AWS services including Glue, Redshift, Lambda, API Gateway, and CloudWatch.
• Bachelor's degree in Computer Science.
• Must hold SC clearance or be eligible to obtain it.

Key Skills

Education

Bachelor's degree in Computer Science