Description

You will design and maintain scalable data infrastructure within an AWS environment to support business intelligence solutions.

Responsibilities

• Translate business and functional requirements into operable data infrastructure within the AWS architecture.
• Build mechanisms to retrieve and aggregate operational data from the AWS fleet for downstream use.
• Own data reliability by performing deep-dives to identify and resolve the root causes of data anomalies.
• Optimize data query performance and manage extract, transform, load (ETL) procedures.
• Implement best practices for data integrity, test design, analysis, validation, and documentation.

Required Skills

• 3-5 years of experience in data engineering.
• Strong proficiency in SQL.
• Experience with Python, Java, Scala, or NodeJS.
• Hands-on experience with AWS Redshift and S3.
• Experience using AWS Glue and EMR.
• Experience with AWS Kinesis and Firehose.
• Knowledge of AWS Lambda and IAM roles/permissions.
• Bachelor's degree in Computer Science, Data Engineering, or Data Analytics.

Key Skills

Education

Any Graduate