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About the role
We are looking for a highly skilled Data Engineer to spearhead our data modernization initiatives; you will be responsible for designing and executing complex data migrations and building scalable, secure data pipelines within the Google Cloud Platform (GCP) ecosystem. The ideal candidate is a hands-on technical expert who can bridge the gap between architectural design and implementation, ensuring our data infrastructure is robust, cost-effective, and secure. Requirements Experience: 3+ years in Data Engineering, with at least 3+ years specifically leading GCP-based projects. Migration Track Record: Proven experience moving large-scale production datasets across environments. Leadership: Experience mentoring junior engineers and leading technical sprints. Communication: Ability to explain complex technical trade-offs to non-technical stakeholders. Problem-Solving: A proactive approach to identifying bottlenecks in the data lifecycle. Must have worked with US/Europe-based clients in an onsite/offshore delivery model. Required Technical Skills Cloud Platform: Expert-level proficiency in Google Cloud Platform (GCP). Data Warehousing: Advanced BigQuery (SQL, optimization, and administration). Orchestration: Hands-on experience with Cloud Composer (Apache Airflow). ETL/ELT Tools: Proficiency in Dataform and Cloud Data Fusion. Languages: Expert in SQL (complex joins, CTEs, window functions). Fair to solid proficiency in Python for scripting and Airflow DAGs. Security and Ops: Deep understanding of IAM, Service Accounts, and Secret Manager. Networking: Fair understanding of GCP Networking (VPC, Cloud SQL Auth Proxy, etc. ). This job was posted by Ayushi Dwivedi from Cloudsufi.
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