GCP Data Engineer Lead

Key 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.