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.

🎯 Requirements

Bachelor's or Master’s degree in Computer Science, Information Technology, Engineering, or a highly
7-8 years hands-on experience in data engineering, data warehousing, or large-scale software
Strong hands-on experience with Google Cloud Platform (GCP).
BigQuery, SQL experience; Looker familiarity.
ETL/ELT frameworks, orchestration tools; Airflow knowledge.
Terraform/IaC, CI/CD pipelines, Git-based workflows.

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