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We are seeking a Data Engineer with hands-on experience in Google Cloud Platform (GCP) and ETL tools such as Ab Initio or Oracle Data Integrator (ODI). This role focuses on designing, developing, and maintaining scalable data pipelines and systems while working closely with cross-functional teams to ensure data quality, performance, and reliability across enterprise platforms.
Job Responsibility
Design, develop, test, and maintain scalable data pipelines and supporting data systems
Collaborate with cross-functional teams to gather and understand data requirements
Implement ETL processes using tools such as Ab Initio or ODI
Work with GCP services including BigQuery, Dataproc, Data Fusion, and Cloud SQL
Write and optimise SQL queries for data extraction, transformation, and processing
Ensure data quality, integrity, and performance across systems
Monitor and troubleshoot data workflows and resolve system issues
Requirements
4–7 years of experience in data engineering or related roles
Proficient in GCP services including BigQuery, Dataproc, Data Fusion, and Cloud SQL
Hands-on experience with ETL tools such as Ab Initio or Oracle Data Integrator (ODI)
Strong working knowledge of Unix and SQL/Teradata
Exposure to Python is an advantage
Strong problem-solving skills with attention to detail
An effective communicator who collaborates well within cross-functional teams
What we offer
Opportunity to work on modern cloud-based data platforms using GCP technologies
Exposure to enterprise-scale ETL and data engineering environments
Collaboration with diverse teams across data, engineering, and platform functions
Continuous learning and growth within a structured and supportive environment