Data Engineer

Our client is expanding their Data Engineering function and hiring across multiple levels (3 to 10 years). You will help build and scale their data architecture, data pipelines, data platform governance, and analytics ecosystem. The role includes working closely with business, analytics, engineering, and external partners to enable a strong enterprise-wide data strategy.

Depending on your experience, you will work on designing, developing, or leading key initiatives in data management, data engineering, data governance, and cloud data systems.

What You Will Do

For all levels

• Build and maintain scalable data pipelines and workflows.
• Assemble large and complex datasets from multiple sources.
• Develop and optimize ETL and ELT processes using AWS cloud, Glue, Python, PySpark, and related tools.
• Enable streaming data pipelines using Kafka or similar tools.
• Support data analysts and data scientists with reliable and timely data delivery.
• Perform sanity testing, track issues, support UAT, and handle compliance activities.
• Work with SQL and NoSQL databases.
• Improve processes through automation and scalable architecture redesign.

Additional for Manager Level (7 to 10 years)

What We Are Looking For

Preferred Background