GCP Data Engineer Lead

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