GCP Data Engineer Lead

Accountabilities: Lead, mentor, and support a team of data engineers, fostering technical excellence and ensuring successful project delivery.

Design, develop, and optimize scalable ETL/ELT pipelines using Google Cloud Platform services.

Build and maintain cloud-based data lakes and data warehouses with BigQuery to support analytics and reporting needs.

Develop both batch and real-time data processing solutions using modern cloud-native technologies.

Collaborate with architects, business stakeholders, analysts, and development teams to translate business requirements into effective data solutions.

Conduct code reviews, promote engineering best practices, and maintain high standards for code quality and performance.

Support CI/CD implementation, DevOps initiatives, and infrastructure automation practices.

Contribute to technical planning, solution architecture, project estimation, and risk management activities.

Requirements

Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or another quantitative discipline.

7–8 years of hands-on experience in data engineering, data warehousing, or large-scale software development.

Strong expertise with Google Cloud Platform, including BigQuery, Cloud Composer, Dataflow, Cloud Storage (GCS), Cloud Functions, and Pub/Sub.

Solid SQL skills and extensive experience designing and optimizing data warehouses and data models.

Experience with ETL/ELT frameworks, workflow orchestration tools such as Airflow, and cloud-native data processing solutions.

Familiarity with Looker or similar BI and reporting tools.

Working knowledge of Terraform or other Infrastructure as Code (IaC) technologies.

Experience implementing CI/CD pipelines, Git-based workflows, and DevOps best practices.

Proven ability to lead technical teams, communicate effectively with stakeholders, and manage project timelines and technical risks.

Strong analytical, problem-solving, decision-making, and communication skills.

Benefits

Competitive salary package.

Opportunity to lead large-scale cloud data engineering initiatives.

Exposure to modern Google Cloud technologies and enterprise-scale projects.

Collaborative and innovative work environment.

Professional development and continuous learning opportunities.

Career growth within a technically driven organization.

Inclusive workplace committed to equal employment opportunities.

Confidential and fair recruitment process.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether? 

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

#LI-CL1