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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.
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.