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Metro mid-level cloud/support role with common Airflow and GCP skills increases applicant density.
Medium because Airflow and GCP pipeline expertise transfers across industries but requires domain pipeline knowledge.
Moderate because specific GCP, Airflow, and scripting skills are expected though no strict years requirement.
Configure, operate, and monitor high-volume batch data delivery platform on Google Cloud with Apache Airflow orchestration.
Perform data quality checks, troubleshoot configuration and scheduling issues, and ensure data integrity and timely delivery for financial data clients.
Collaborate with cross-functional teams and adhere to SDLC and security protocols while maintaining documentation and contributing to process improvements.
Bachelor's degree in computer science, information technology or equivalent.
Experience with data processing concepts, batch delivery systems, and configuration files (e.g., YAML).
Basic understanding or exposure to Google Cloud Platform (GCP) and cloud computing concepts.
Work Experience Required: Not explicitly mentioned in the JD.
Experience managing and deploying data pipelines using Apache Airflow and GCP services such as Dataflow, Composer, Cloud Storage, or BigQuery.
Proficient in troubleshooting complex platform issues, performing data validation, and maintaining high standards of data security and process adherence.
Familiarity with scripting languages such as Python or shell scripting and API tools for data interface testing.