Description

You will build and maintain data infrastructure on AWS.

Responsibilities

• Design, develop, and maintain scalable data pipelines on AWS.
• Implement ETL workflows and data integration solutions using AWS services.
• Collaborate with teams to deliver high-quality data products.
• Optimize SQL queries and manage large datasets efficiently.
• Ensure data quality, security, and compliance across systems.

Required Skills

• 3–10 years of experience in data engineering or software development.
• Strong hands-on expertise in Python or Java for data processing.
• Proficiency in SQL for working with large datasets.
• Experience with AWS services: Redshift, Glue, EMR, Lambda, S3, Kinesis, Athena.
• Familiarity with workflow orchestration tools like Airflow or Step Functions.
• Experience with big data frameworks like Spark or Hadoop.
• Knowledge of Cloud computing principles.

Key Skills

Education

Bachelor's degree