GCP Data Engineer Lead

Team: IT

Location: India

Commitment: Full-time

Workplace Type: remote

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.