Data Engineer

Role Overview

As a Data Engineer within our Data & AI Practice, you'll leverage a client-centric approach to translate our client's business strategy into solutions and services that lead to successful, impactful outcomes.

What You Will Do

Design, build, and maintain scalable data pipelines for efficient data collection, transformation, and storage. Develop and optimize ETL/ELT workflows to integrate data from multiple sources into data warehouses or data lakes.

Why It Might Be a Fit

4–6 years of hands-on experience in data engineering, data warehousing, or related fields. Proficiency in SQL and at least one programming language (Python, Java, or Scala) for data processing and automation.

Requirements

• 4–6 years of hands-on experience in data engineering, data warehousing, or related fields
• Proficiency in SQL and at least one programming language (Python, Java, or Scala) for data processing and automation
• Experience with ETL/ELT pipeline development and orchestration tools
• Strong understanding of data modeling, schema design, and database management
• Familiarity with cloud platforms (Azure, AWS, GCP) and big data frameworks (Spark, Hadoop, Kafka)
• Experience with data warehousing concepts, building and maintaining data warehouses or lakes
• Knowledge of data quality, validation, and monitoring best practices
• Exposure to CI/CD, version control (Git), and workflow automation in a data engineering context