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 Big Query.
- 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 Dev Ops best practices.
- Provide technical guidance during project planning and estimation.

Technical Skills

- Strong hands-on experience with Google Cloud Platform (GCP)
- Expertise in:
- Big Query
- 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 Dev Ops practices

Leadership Skills

- Experience leading technical teams and client communication
- Solid 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.

📌 GCP Data Engineer Lead (India)
🏢 Sutherland
📍 India