Engineer – Data Engineering & Analytics

Role Overview

Implement real-time ETL/ELT pipelines on enterprise data platforms, design data workflows, and apply data governance, security, and quality principles. Work directly with client stakeholders throughout the delivery lifecycle.

What You Will Do

Implement ETL/ELT pipelines, data workflows, and data governance principles. Monitor and troubleshoot production pipelines for performance and cloud cost efficiency.

Why It Might Be a Fit

Strong experience with Apache Spark, data modelling, data quality, and data governance principles. Strong communication skills and ability to work directly with client stakeholders.

Requirements

• Bachelor’s Degree in Data Science or higher qualification
• 2–3 years of professional experience in building and operating enterprise data pipelines, data warehouses, or lakehouses
• Hands-on experience with at least two of the following platforms: Databricks, Snowflake, Microsoft Fabric/Azure Data Services, Cloudera, Informatica (IDMC/PowerCenter), or Oracle (ADW/Exadata/ODI)
• Strong experience with Apache Spark and distributed data processing at scale
• Solid understanding of data modelling, data quality, and data governance principles
• Strong communication skills and ability to work directly with client stakeholders

Tagged as: Snowflake