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Popular mid-level Data Engineer role in metros, but mandatory GCP certification limits applicants.
GCP-focused data engineering skills are transferable across industries but require cloud platform experience, so medium sensitivity.
Mandatory 6+ years, 4+ years GCP, and required Professional Data Engineer certification create high filtering.
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Design, develop, and optimize scalable ETL/ELT data pipelines and data solutions on GCP using BigQuery, Python, SQL, and Dataflow or Dataproc.
Manage workflow orchestration and scheduling with Cloud Composer (Airflow), ensuring data quality, monitoring, reconciliation, and production support.
Collaborate with architects, analysts, and business teams to deliver reliable enterprise-scale data platforms optimized for cost and performance.
6+ years of experience in Data Engineering, ETL/ELT, Data Warehousing, or Analytics Engineering.
4+ years of hands-on experience with Google Cloud Platform (GCP) (Mandatory).
Google Cloud Professional Data Engineer Certification (Mandatory).
Experience with BigQuery, Python, advanced SQL, Cloud Composer (Airflow), and Dataflow (Apache Beam) or Dataproc/Spark/PySpark.
Experienced working in enterprise-scale environments requiring optimized, cost-effective, and scalable data platforms on GCP.
Demonstrates strong technical proficiency with multiple GCP data engineering tools and advanced SQL query optimization and data modeling skills.
Comfortable working collaboratively with cross-functional teams including architects and business analysts to solve complex data challenges.