GCP Data Engineer Lead

Sutherland

IndiaremotePosted 28 days ago

Skill Required

GCP-Data-EngineeringData-Engineering-LeadCloud-Data-EngineeringData-Pipeline-EngineeringBigQuery-DevelopmentSenior-GCP-Cloud-EngineerLead-Data-EngineerGoogle-Cloud-Lead-EngineerData EngineerGCPData Warehousingdata engineeringETLCD pipelinesEngineeringTerraformBigQueryAirflowLookerdesignDevOpsCI/CDCloudjQuerySQLGitandCICDFulltime

Key highlights

7–8 years of relevant hands‑on experience.
Lead and mentor a data engineering team.
Design and implement scalable ETL/ELT pipelines on GCP.
Strong expertise with BigQuery and SQL.
Bachelor’s or Master’s degree in a quantitative field.
Experience with CI/CD, DevOps, and IaC (Terraform).

Role overview

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.

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.

Requirements

Strong hands‑on experience with Google Cloud Platform (GCP).
Proficiency with BigQuery.
Proficiency with Git.
Experience with Cloud Composer.
Experience with Dataflow.
Knowledge of Pub/Sub.
Experience with Cloud Storage (GCS).
Experience with Cloud Functions.
Knowledge of Looker and other BI/reporting tools.
Strong experience with BigQuery 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 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.