Description

You will design and build data warehousing and data mesh implementations on AWS.

This role is on-site.

Responsibilities

• Build and optimize ETL pipelines targeting Amazon Redshift.
• Implement and manage data processing workflows using Spark, Glue, or equivalent tools.
• Develop data models and enable reporting capabilities for data consumers.
• Orchestrate complex data workflows using Step Functions and Lambda.

Required Skills

• 8+ years of experience in data warehousing or data mesh implementations.
• 4+ years of experience specifically within the AWS cloud ecosystem.
• Strong proficiency in Python, PySpark, and SQL.
• Hands-on expertise with AWS services: S3, Glue, Redshift, Kinesis, Lambda, and Step Functions.
• Experience with Infrastructure as Code (IaC).
• Solid background in dimensional modeling (star/snowflake schema design).
• Experience with data integration tools such as Informatica Power Center.
• Proficiency in distributed data processing frameworks (Spark, AWS Glue, EMR).

Preferred Skills

• Experience with large-scale data mesh architectures.

Key Skills

Education

Any Graduate