Data Engineer - IBM Datastage + Terradata

Overview

is a fast-growing AI-first technology services company, partnering with enterprises to shape and accelerate their journey to AI maturity. With a presence across the US, UK, UAE, India, and Singapore, we bring together deep domain knowledge, cloud-scale engineering, and cutting-edge artificial intelligence to help our clients transform into agile, insight-driven organizations.

We are proud partners with global technology leaders such as Databricks, Microsoft, AWS, and Qlik, and have been consistently recognized for innovation, delivery excellence, and trusted advisories.

Awards & Recognitions

• Innovation Partner of the Year – Databricks, 2024
• Digital Impact Award, UK – 2024 (TMT Sector)
• Rising Star – APJ Databricks Partner Awards 2023
• Qlik’s Most Enabled Partner – APAC
  
  

With a team of 450+ AI engineers, data scientists, and consultants, we are on a mission to redefine how work is done, by combining human intelligence with AI agents to deliver exponential outcomes.

Learn more: www.exponentia.ai

About The Role

We are looking for an experienced Data Engineer with strong hands-on expertise in IBM DataStage to design, develop, and maintain scalable data pipelines. The ideal candidate should have a solid understanding of ETL processes, data modeling, and enterprise data warehousing, along with the ability to work closely with business and analytics teams.

Key Responsibilities

• Design, develop, and maintain ETL pipelines using IBM DataStage
• Build data products based on data models provided by architects/designers
• Perform data analysis to support development and validate business requirements
• Apply strong data development techniques, including:
• Slowly Changing Dimensions (SCD Type 1, 2, etc.)
• Data Quality checks, validations, and reconciliations
• Manage and support deployment, scheduling, and monitoring of ETL jobs
• Review technical designs and challenge design decisions where development, performance, or scalability may be impacted
• Participating in change management and change boards
• Supporting TDA / data architects and solution designers
• Troubleshoot and resolve data, ETL, and production issues
• Create and maintain technical documentation for data pipelines and processes