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Senior Data Engineer

1 month ago

San Francisco, California, United States Gridware Full time
Job Title: Senior Data Engineer

Gridware is a leading provider of advanced sensing systems for the electrical grid. Our team is responsible for designing, building, and optimizing data pipelines and infrastructure to support real-time grid monitoring systems.

The Senior Data Engineer will be responsible for handling large-scale sensor data, ensuring data integrity, and enabling seamless data flow for analysis and decision-making. This role involves collaborating with software engineers, data scientists, analysts, and other stakeholders to meet data requirements.

Key Responsibilities:

  • Design, develop, and maintain scalable data pipelines and architectures.
  • Implement data ingestion, transformation, and storage solutions.
  • Ensure data quality and integrity across various data sources and destinations.
  • Collaborate with cross-functional teams to meet data requirements.
  • Optimize and tune data workflows for performance and efficiency.

Requirements:

  • 5+ years' proven experience in data engineering or a similar role.
  • Strong proficiency in SQL and experience with relational and time series databases.
  • Hands-on experience with big data technologies (e.g., Hadoop, Spark, Kafka).
  • Proficiency in Python.
  • Experience with Databricks, Grafana.
  • Knowledge of data modeling, ETL processes, and data warehousing concepts.
  • Knowledge of version control, automated deployments, and testing pipelines.
  • Familiarity with data governance and data security best practices.

Bonus Skills:

  • Knowledge of machine learning and data science concepts.
  • Experience with real-time data processing frameworks.
  • Familiarity with IOT / embedded systems.
  • Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
  • Experience in high-growth startup environments where you must wear many hats.