Description

You will design and build data pipelines within an AWS environment.

Responsibilities

• Develop data ingestion, processing, and analytical pipelines for big data, relational databases, NoSQL, and data warehouse solutions.
• Build data ingestion and processing workflows using AWS Glue, Kinesis, Managed Kafka Services, and AWS Lambda.
• Implement data marts and apply data warehouse concepts to support analytical requirements.
• Manage metadata using industry-standard technology stacks.

Required Skills

• 5+ years of experience in data engineering roles.
• Hands-on experience with AWS Redshift, AWS EMR, AWS S3, and AWS Glue.
• Proficiency in Apache Spark and Scala.
• Experience with AWS DMS, AWS Lambda, SNS, and SQS.
• Knowledge of AWS Kinesis and Managed Kafka Services.
• Strong understanding of data warehouse and data mart architecture.
• Familiarity with metadata management tools.

Preferred Skills

• Any Graduate degree.

Key Skills

Education

Any Graduate