Senior Data Engineer - GCP

• Develop and enhance Python frameworks and libraries to support data processing, quality, lineage, governance, analysis, and machine learning operations.
• Design, build, and maintain scalable and efficient data pipelines on GCP.
• Implement robust monitoring, logging, and alerting systems to ensure the reliability and stability of data infrastructure.
• Build scalable batch pipelines leveraging Big query, Dataflow and Airflow/Composer scheduler/executor framework on Google Cloud Platform
• Design our data models for optimal storage and retrieval and to meet machine learning modeling using technologies like Bigtable and Vertex Feature Store
• Contribute to shared Data Engineering tooling & standards to improve the productivity and quality of output for Data Engineers across the company
  
  

Minimum Basic Requirements

• Python Expertise: Write and maintain Python frameworks and libraries to support data processing and integration tasks.
• Code Management: Use Git and GitHub for source control, code reviews, and version management.
• GCP Proficiency: Extensive experience working with GCP services (e.g., BigQuery, Cloud Dataflow, Pub/Sub, Cloud Storage).
• Python Mastery: Proficient in Python with experience in writing, maintaining, and optimizing data processing frameworks and libraries.
• Software Engineering: Strong understanding of software engineering best practices, including version control (Git), collaborative development (GitHub), code reviews, and CI/CD.
• Data Management: Deep knowledge of data modeling, ETL/ELT, and data warehousing concepts.
• Problem-Solving: Excellent problem-solving skills with the ability to tackle complex data engineering challenges.
• Communication: Strong communication skills, including the ability to explain complex technical details to non-technical stakeholders.
• Data Science Stack: Proficiency in data analysis and familiarity with tools such as Jupyter Notebook, pandas, NumPy, and other Python data analysis libraries.
• Frameworks/Tools: Familiarity with machine learning and data processing tools and frameworks such as TensorFlow, Apache Spark, and scikit-learn.
• Bachelors or masters degree in computer science, Engineering, Computer Information Systems, Mathematics, Physics, or a related field or software development training program
  
  

Cloud Hybrid is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. Cloud Hybrid will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will Cloud Hybrid require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract

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