Description

You will design, build, and maintain scalable data pipelines and infrastructure using AWS services.

This role is on-site.

Responsibilities

• Develop and maintain data pipelines using AWS EMR, Glue, Kinesis, Redshift, and S3.
• Design and implement data architectures to support business requirements.
• Ensure data quality and integrity throughout the entire data lifecycle.
• Optimize data pipelines for performance and cost-efficiency.
• Collaborate with data analysts and scientists to define and meet data requirements.

Required Skills

• 6+ years of experience in data engineering.
• Proficiency in SQL and either Python or Scala.
• Hands-on experience with AWS data services including EMR, Glue, Kinesis, Redshift, and S3.
• Strong understanding of data warehousing and data lake concepts.
• Solid knowledge of data modeling and ETL processes.
• Proven ability to work with large datasets and perform data analysis.
• Degree in any graduate field.

Key Skills

Education

Any Graduate