GCP Data Engineer Lead

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 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. All your information will be kept confidential according to EEO guidelines.