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We are seeking a skilled Ab Initio Data Engineer with strong hands-on experience in Unix and Teradata, along with basic working knowledge of Google Cloud Platform (GCP). The role focuses on designing, developing, optimising and supporting ETL solutions in large-scale data processing environments, with accountability for performance, stability and production support.
Job Responsibility:
Design, develop and maintain ETL workflows using Ab Initio components including GDE, EME and the Co>Operating System
Build, optimise and support data ingestion, transformation and extraction pipelines for enterprise data platforms
Write and maintain Unix/Linux shell scripts for automation, scheduling and monitoring activities
Develop, optimise and tune SQL queries and data models within Teradata environments
Perform performance tuning and troubleshooting for ETL jobs and database queries
Collaborate with operations, infrastructure and business teams to resolve production issues and deliver enhancements
Follow best practices related to data quality, security, governance and compliance
Provide support during releases, incident resolution and root cause analysis
Maintain clear technical documentation covering designs, workflows and operational procedures
Requirements:
Strong hands-on experience in Ab Initio ETL development
Good proficiency in Unix/Linux commands and shell scripting
Solid experience in Teradata SQL, performance tuning and utilities
Understanding of data warehousing concepts and ETL best practices
Experience working in production support environments with incident management
Basic working knowledge of GCP services such as Google Cloud Storage, BigQuery and Compute Engine
Nice to have:
Exposure to cloud migration or hybrid data platforms
Familiarity with scheduling tools (for example Autosys or Control‑M) and Agile/Scrum methodologies
What we offer:
Opportunity to work on large-scale enterprise data platforms using Ab Initio, Teradata and emerging cloud technologies
Exposure to hybrid and cloud-enabled data environments within a global organisation
A collaborative setting that values operational stability, continuous improvement and shared ownership