ETL Data Engineer (US Shared Service)

About the role

Designs, builds, tests, and operates data pipelines and data services that collect, integrate, transform, store, and deliver trusted data for analytics, applications, automation, and AI. Integrates enterprise, operational, client, and external data sources using scalable batch and real-time patterns as required. Ensures data pipelines are reliable, observable, secure, documented, and aligned with data quality, governance, privacy, and regulatory requirements.

Key responsibilities

• Design, build, test, and maintain scalable ETL/ELT pipelines, data services, and orchestration workflows for batch and real-time processing as required.
• Integrate enterprise, operational, client, and external data sources using APIs, connectors, files, databases, and approved integration patterns.
• Transform and structure data into reusable, documented data products and analytical models that meet business and technical requirements.
• Implement data quality validation, monitoring, lineage, security, error handling, and recovery practices to support trusted production data.
• Optimize pipeline performance, reliability, and cost and collaborate with data architecture, analytics, AI, application, and business teams.

About you

• Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or related field; equivalent relevant experience may be considered.
• Can work in a Hybrid environment in a Night-shift schedule
• 3 years of experience in data engineering, data integration, database development, or related technical roles.
• Knowledge of data engineering principles, data modeling, ETL/ELT, orchestration, database and distributed-data concepts, data quality, security, and cloud data architectures.
• Proficiency in SQL and Python or a comparable programming language.
• Experience with cloud data platforms, ETL/ELT and orchestration tools, APIs, source control, CI/CD, and warehouse/lakehouse technologies.
• Strong analytical, troubleshooting, documentation, and collaboration skills; ability to build reliable solutions from complex business and data requirements.