AWS Data Engineer || Alpharetta, GA.

Job Summary (List Format)

• Lead the design and development of scalable big data applications using Python (10+ years' experience required).
• Build and optimize efficient data processing pipelines with big data technologies such as Hadoop/EMR, Spark, and Hive.
• Develop and maintain solutions leveraging AWS services, including Lambda, EventBridge, Step Functions, Redshift, S3, and Glue (5+ years' experience required).
• Implement data transformation, manipulation, and analysis workflows, including making API calls and executing complex SQL queries.
• Analyze large datasets to extract meaningful insights and support data-driven decision-making.
• Create and maintain CI/CD pipelines using tools such as GitLab and Terraform.
• Collaborate and communicate effectively with cross-functional teams in a matrixed organization.
• Apply critical thinking and strong analytical skills to solve complex technical challenges and drive innovative solutions.
• Demonstrate strong problem-solving skills and the ability to form positive partnerships with team members.
• Ensure best practices in code quality, testing, and deployment processes for big data solutions.