Description

You will design and build scalable ETL pipelines and data infrastructure on AWS.

This role is remote.

Responsibilities

• Develop and manage cloud-based data infrastructure on AWS, ensuring scalability and security.
• Automate workflows for real-time and batch processing using Python, PySpark, and AWS services.
• Design and maintain scalable ETL pipelines using AWS Glue, Lambda, and S3.
• Optimize performance and cost for high-throughput data systems.
• Collaborate with cross-functional teams to deliver robust data solutions.

Required Skills

• 5+ years of experience in Data Engineering.
• 3+ years of hands-on AWS expertise (EC2, S3, Glue, Lambda).
• Advanced proficiency in Python and PySpark.
• Experience with Big Data platforms, including Spark and Hadoop.
• Knowledge of AWS data lakes and warehouses (Redshift, Athena).
• Familiarity with data pipeline architecture.

Preferred Skills

• AWS Certified Data Analytics or Solutions Architect certification.

Key Skills

Education

Any Graduate