GCP Data Engineer Lead
Job Summary
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
Qualifications :
Bachelors or Masters 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.
Additional Information :
All your information will be kept confidential according to EEO guidelines.
Remote Work :
No
Employment Type :
Full-time
About Company
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