Role Overview We are looking for a Senior Data Engineer / Lead with deep expertise in GCP, distributed data processing, and pipeline architecture. Key Responsibilities Architect and build scalable, high-performance data pipelines on GCP Lead design of data platforms using Dataproc, BigQuery, Cloud Storage Develop and optimize large-scale ETL pipelines using PySpark Design and manage complex Airflow workflows (DAGs) Drive data architecture decisions and best practices Collaborate with business, product, and analytics teams Mentor junior engineers and conduct code reviews Ensure data governance, quality, and security compliance Optimize cost and performance of cloud infrastructure Required Skills 10+ years of experience in Data Engineering / Big Data Strong hands-on expertise in:
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