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Mid-level data engineer role, metro location, common GCP/Python/SQL skills increases applicant competition.
Data engineering skills on GCP, Python and SQL are broadly transferable across industries.
Explicit 6+ years and mandatory GCP, Python, SQL and ETL skills enforce strict technical filters.
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Design, develop, and maintain scalable and reliable data pipelines on Google Cloud Platform (GCP).
Develop data processing and transformation solutions using Python and SQL for large-volume datasets, including ETL/ELT pipelines.
Monitor, troubleshoot, optimize performance, and enforce data quality, security, and governance best practices.
6+ years of experience in Data Engineering.
Strong hands-on experience with Google Cloud Platform (GCP) and data services including BigQuery, Cloud Storage, Cloud Composer/Airflow, Dataflow, Pub/Sub, and Dataproc.
Proficient in Python programming and SQL (complex queries, joins, CTEs, window functions, query optimization).
Experience developing ETL/ELT data pipelines and working knowledge of data modeling, data validation, and distributed data processing.
Experienced in building and optimizing data pipelines in a cloud environment, particularly Google Cloud.
Proficient with tools and practices related to code versioning (Git) and CI/CD.
Familiar with Apache Spark/PySpark and has exposure to infrastructure as code (Terraform) and real-time/streaming pipelines as a plus.