GCP Data Engineer Lead

Responsibilities

• 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.
• Technical Skills
• Strong hands-on experience with Google Cloud Platform (GCP)
• Expertise in: BigQuery
• Git
• Cloud Composer
• Dataflow
• Pub/Sub knowledge
• Cloud Storage (GCS)
• Cloud Functions
• Looker knowledge
• Knowledge of BI/reporting tools such as Looker
• Strong experience Big query and SQL
• Good understanding of data modeling and warehousing concepts
• Experience with ETL/ELT frameworks and orchestration tools
• Knowledge of Terraform or Infrastructure as Code (IaC)
• Knowledge with CI/CD pipelines and Git-based workflows
• Familiarity with Airflow and DevOps practices
• Leadership Skills
• 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.
• Experience: 7-8 Years hands-on experience in data engineering, data warehousing, or large-scale software development.
• All your information will be kept confidential according to EEO guidelines.

Your Match

How well this role fits your profile.

Company Intel

What employees say

Worked at Sutherland? Share your experience