Description

You will build and manage data pipelines within an AWS environment.

Responsibilities

• Design and implement ETL processes and data warehousing solutions.
• Build scalable data pipelines using AWS services including S3, Redshift, RDS, Glue, EMR, and Lambda.
• Develop and maintain data models to support business requirements.
• Apply big data technologies to process large datasets.
• Collaborate with team members to solve complex data engineering problems.

Required Skills

• 3+ years of experience in data engineering focused on AWS.
• Proficiency in Python and SQL.
• Hands-on experience with Hadoop, Spark, and Kafka.
• Strong understanding of data modeling and ETL workflows.
• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Experience with AWS services: S3, Redshift, RDS, Glue, EMR, and Lambda.

Preferred Skills

• AWS certifications such as Data Analytics – Specialty or Solutions Architect.
• Familiarity with DevOps tools including CI/CD, Docker, and Kubernetes.
• Knowledge of machine learning and data science concepts.

Key Skills

Education

Bachelor's degree in Computer Science