GCP Data Engineer Lead

🔥 1 hour ago

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Sutherland

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1986

🏥 Healthcare

🛡️ Insurance

✈️ Travel

💰 $300M Secondary Market on 2014-10

Healthcare • Insurance • Travel

Sutherland is a global company specializing in digital transformation and business process outsourcing services. They leverage advanced technologies such as Artificial Intelligence, automation, and cloud engineering to drive digital performance and optimize critical business operations. Sutherland offers a variety of services including digital CX, enterprise technology solutions, and intelligent automation across multiple industries such as banking, healthcare, and telecommunications. Their focus is on delivering measurable outcomes, enhancing customer experiences, and enabling business agility through innovative digital solutions.

📋 Description

• Lead and mentor the data engineering team for project delivery and technical excellence • Design and implement scalable ETL/ELT data pipelines on GCP • Build and optimize data lakes and data warehouses using BigQuery • Develop batch and real-time data processing solutions • Collaborate with architects, business stakeholders, analysts, and development teams • Perform code reviews and enforce engineering best practices • Support CI/CD implementation and DevOps best practices • Provide technical guidance during project planning and estimation

🎯 Requirements

• Strong hands-on experience with Google Cloud Platform (GCP) • Expertise in BigQuery, Git, Cloud Composer, Dataflow, Pub/Sub, Cloud Storage (GCS), Cloud Functions, and Looker • Knowledge of BI/reporting tools such as Looker • Strong experience with BigQuery and SQL • Good understanding of data modeling and data warehousing concepts • Experience with ETL/ELT frameworks and orchestration tools • Knowledge of Terraform or Infrastructure as Code (IaC) • Knowledge of CI/CD pipelines and Git-based workflows • Familiarity with Airflow and DevOps practices • Experience leading technical teams and client communication • Strong problem-solving and decision-making abilities • Ability to manage delivery timelines and technical risks • Excellent communication and stakeholder management skills • Bachelor's or Master’s degree in Computer Science, Information Technology, Engineering, or a highly quantitative field • 7–8 years of hands-on experience in data engineering, data warehousing, or large-scale software development