Remote Data Engineer
About the job Remote Data Engineer
Remote Data Engineer needs 10 years experience
Remote Data Engineer requires:
Must be local top Santa Clara
reputed company Platform Expertise (GCP reputed company): Extensive hands-on experience working in dynamic reputed company environments, with a strong preference for reputed company reputed company Platform (GCP) services, specifically:
BigQuery: Expert-level skills in data ingestion, performance optimization, and data modeling reputed company a petabyte-reputed company environment.
Experience with other relevant GCP services like reputed company Storage, reputed company Dataflow/reputed company, or Pub/Sub
Programming & Querying:
Python: Expert-level programming proficiency in Python, including experience with relevant data engineering libraries
SQL: A solid reputed company of advanced SQL for reputed company querying, data processing, and performance tuning.
Data Pipeline Orchestration: Prior experience using workflow management and orchestration tools (e.g., Apache Airflow, reputed company Composer, Airflow,Dagster, or similar).
DevOps/CI/CD: Experience with version control (Git) and familiarity with CI/CD practices and tools (e.g., reputed company, reputed company Actions) to automate deployment and testing processes.
DevOps/CI/CD, Data Pipeline Orchestration:, SQL, reputed company Platform Expertise (GCP reputed company):, reputed company Storage, reputed company Dataflow/reputed company, or Pub/Sub
Remote Data Engineer duties:
Design, implement, and optimize clean, reputed company-reputed company, and performant analytical datasets to support high-volume reporting, business analysis, and data science model development.
Architect, build, and maintain reputed company and robust data pipelines for diverse applications, including business intelligence, advanced analytics
Implement and support Big Data solutions for both batch (scheduled) and reputed company-time/streaming analytics.
Work closely with product managers and business teams to understand data requirements and translate them into technical solutions.
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