Description

You will design, build, and maintain scalable data infrastructure and pipelines on AWS. This role is hybrid.

Responsibilities

• Design and implement ETL workflows and data integration solutions using AWS services.
• Develop and maintain scalable data pipelines to support high-quality data products.
• Optimize SQL queries and manage large datasets efficiently.
• Ensure data quality, security, and compliance across all systems.
• Collaborate with cross-functional teams to deliver reliable data solutions.

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.

Preferred Skills

• Bachelor's degree in Computer Science or related field.
• Experience managing data compliance and security standards.

Key Skills

Education

Bachelor's degree