GCP Data Engineer Lead
Sutherland · Hyderabad, Telangana, India
IT Services and IT Consulting · 10,001+ employees
About the role
Lead and mentor the data engineering team while designing and implementing scalable ETL/ELT pipelines on GCP. Collaborate with stakeholders to optimize data lakes and warehouses using BigQuery and enforce engineering best practices.
What they look for
Requirements
Requires 7-8 years of hands-on experience in data engineering and a degree in a quantitative field. Candidates must possess strong technical expertise in GCP services, SQL, and team leadership.
Full description
Company Description
Sutherland is seeking an experienced and highly skilled GCP Data Engineer Lead to design, develop, and manage scalable cloud-based data solutions on Google Cloud Platform (GCP). The candidate will lead the data engineering team, drive architecture decisions, and ensure best practices in data pipeline development, data warehousing, and cloud-native solutions.
The ideal candidate should possess strong technical expertise in GCP services, modern data engineering practices, and team leadership capabilities.
Job Description
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
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.
Additional Information
All your information will be kept confidential according to EEO guidelines.
