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Job Description
The Senior Data Engineer at EnergyHub is responsible for designing, developing, and maintaining large-scale data processing systems to support virtual power plant operations, enabling efficient management of distributed energy resources and contributing to decarbonization efforts.
Key Responsibilities
- Design and manage data ingestion, processing, and storage processes for billions of data points with a focus on performance, security, and compliance
- Manage access, roles, and security for Snowflake data platform
- Architect data schemas and data flow collaboratively with team and product stakeholders
- Monitor and optimize cloud costs related to data infrastructure
- Mentor and train team members and cross-functional partners in data engineering best practices
- Collaborate with engineering, product, and partner teams to build scalable data solutions
- Ensure data quality, accuracy, and observability for troubleshooting and system reliability
- Develop and maintain documentation for data processes and systems
Requirements
- Proven proficiency with AWS, Snowflake, dbt, Airflow, Docker, Fivetran, Hightouch, Sigma, Jira, Confluence, Slack, or comparable counterparts, at least
- A storied career in data engineering, with experience in scaling systems many times over and handling unexpected data scenarios
- Experience designing processes for ingesting, processing, observing, and maintaining billions of data points with performance, accuracy, security, and compliance in mind
- Ability to manage access, roles, and security for Snowflake instances
- Experience architecting schema and data flow through a collaborative and inclusive process
- Ability to collaborate with team and product to balance business-driven and team-driven priorities to maximize velocity and reliability
- Experience monitoring cloud costs across tools to maintain efficiency and justify expenses
- Mentoring and training team members and other business units
- Building and maintaining relationships with diverse partner teams, including engineering, operations, and business development
- A proven track record in data engineering, including solidly-architected systems and thorough analyses
- Obsessive drive for quality and performance in data processes and systems
- Strong communication skills, with a penchant for concise clarity in communication, code, and documentation
- Warmth and inclusiveness towards colleagues, with a willingness to help others succeed
- Understanding of OLAP and OLTP RDBMS systems, with experience planning and implementing high-performance data processes using both
- Proactive approach to observability, ensuring relevant details are logged for rapid troubleshooting and resolution
- Proficiency with the full data engineering toolkit including AWS, Snowflake, dbt, Airflow, Docker, Fivetran, Hightouch, Sigma, Jira, Confluence, Slack, or comparable tools
- Strong SQL and Python skills, with the ability to bring clarity to complex syntax
- Ability to work with modern tooling and data management practices
- Physical and mental capacity to work fully from the office with occasional remote work flexibility
- Educational background or equivalent experience in data engineering or related field
- Ability to handle responsibilities related to data security, compliance, and lifecycle management
Benefits & Perks
Long-term employment based on a permanent employment contract
Attractive benefits package including medical care, life insurance, sports package, annual budget for professional development 2,000
Work fully from the office with the possibility to work remotely occasionally
Opportunity to work with the latest technologies in IoT, SaaS, and machine learning
Immediate impact and real responsibility from day one
Diverse and dynamic environment with exposure to multiple areas of the business
Collaborate with outstanding people and learn from each other
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