Senior Data Engineer
6 days ago
Senior Data Engineer
Why You Want This Position
At Enverus, we're committed to empowering the global quality of life by helping our customers make energy affordable and accessible to the world.
We are the most trusted energy-dedicated SaaS company, with a platform built to maximize value from generative AI, and our innovative solutions are reshaping the way energy is consumed and managed. By offering anytime, anywhere access to analytics and insights, we're helping our customers make better decisions that help provide communities around the world with clean, affordable energy.
The energy industry is changing fast. But we've continued to lead the way in energy technology, creating intelligent connections across the entire energy ecosystem, from renewables, power and utilities, to oil and gas and financial institutions. Our solutions create more efficient production and distribution, capital allocation, renewable energy development, investment and sourcing, and help reduce costs by automating crucial business operations. Of course, this wouldn't be possible without our people, which is why we have built a team of individuals from a diverse range of backgrounds.
Are you ready to help power the global quality of life? Join Enverus, and be a part of creating a brighter, more sustainable tomorrow.
The Team
Would you like to work in a unique data engineering environment built with modern platforms and data
technologies? As a Senior Data Engineer, you get to implement features and enhancements of various sizes
and complexities, influencing decisions on every step of the development cycle – from prototype to
deployment. Join us on our journey as a member of Enverus' data engineering team working with crew
members based in Canada and the United States.
You would be joining the Data Infrastructure Team, collecting, transforming, and delivering presentation-
ready data to Enverus Prism, our premier energy analytics platform.
Performance Objectives
- Solve challenging data engineering problems to scale and provide solutions to complex business
problems - Develop reusable, maintainable, efficient, testable, and cost-effective production-ready code
- Review and enforce code quality and standards
- Work with a variety of data storage systems, including but not limited to databases and data lakes
- Utilize & incorporate AI tools in your day-to-day work
- Support and monitor infrastructure, application, database, etc.
- Balance working independently with collaborating in a team
- Learn new technologies as needed to serve business growth
- Brainstorm and prototype new solutions
- Readily share knowledge through collaborative meetings and documentation
Competitive Candidate Profile
- Bachelor's degree in computer science, engineering, or equivalent industry experience
- 5+ years of software development experience
- Solid experience with Python and Spark
- Good understanding of databases and SQL
- Working knowledge of Docker
- Experience with modern data development tools and libraries
- Knowledge of big data technologies and ETL processes
- Good command of Git or similar source-control tools
- Good understanding of data structures and algorithms
- Good understanding of design patterns and good programming practices
- Familiarity with cloud infrastructure and concepts
Our Technology Stack
AWS / Azure, Terraform, Databricks, Python, Spark / PySpark, GitHub, Kinetica, Clickhouse, Docker
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