Description

You will design, implement, and maintain scalable data architectures and ETL processes for unified data analysis.

This role is on-site.

Responsibilities

• Build and optimize ETL pipelines to move data from diverse sources into gold datasources.
• Design and maintain data lakes and warehouses using AWS services (S3, Athena, Glue, Redshift).
• Develop automated data processing code using Python, Spark, and SQL.
• Manage data infrastructure for efficiency, cost-effectiveness, and quality.
• Collaborate with stakeholders to document processes and gather requirements.

Required Skills

• 5+ years of experience as a Senior Data Engineer or similar role.
• Hands-on experience with AWS: S3, Athena, Glue, and Redshift.
• Strong programming skills in Python, Spark, and SQL.
• Experience with Databricks on AWS.
• Knowledge of Dataiku.
• Experience with Azure DevOps.
• Familiarity with Agile processes (Scrum, Kanban).

Preferred Skills

• Experience aligning data architectures with existing enterprise tools and frameworks.

Key Skills

Education

Any Graduate