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Data Engineer

2 months ago

Calgary, Alberta, Canada Orennia Full time
About Orennia

Orennia is a leading provider of innovative data and analytics solutions for the energy transition. Our cutting-edge platform empowers clients to make informed decisions and maximize returns across the solar, wind, storage, power, RNG, CCUS, clean fuels, and hydrogen sectors.

As the world decarbonizes its energy stack, trillions in capital need to be deployed. Global investment in the energy transition must quadruple to over $5 trillion annually to stay on the 1.5°C pathway, according to the International Renewable Energy Agency. Without accurate data and predictive analytics, developers and investors will struggle to deploy capital efficiently and maximize returns. Orennia's platform expedites the energy transition with effective and robust information for smarter capital allocation choices.

The Opportunity

We are seeking a highly skilled Data Engineer to join our team and play a key role in the development of our products, including building out our data and analysis pipeline. The ideal candidate has an entrepreneurial mindset, high technical proficiency, and is highly adaptable. You will collaborate with cross-functional teams engaging with a variety of experts and perspectives.

Key Responsibilities
  • Analyze, design, develop, test, review, document, and troubleshoot data pipeline/ELT solutions against multiple structured and unstructured data sources.
  • Support our team of analysts through developing requirements and delivering solutions.
  • Develop code to scrape public websites for data and perform ELT processes.
  • Maintain, monitor, and support production ELT processes and respond to error and emergency issues.
Requirements
  • Excellent knowledge and experience with Big Data concepts like data lakes, data warehouses, ELT strategies, and best practices.
  • Strong understanding of relational and dimensional data modeling.
  • Strong analytical and problem-solving skills.
  • Experience with DBT and SQL, and proficiency with Python.
  • Extensive experience with cloud-based data processing and warehousing technologies (Databricks, Snowflake, etc).
  • Experience with Lean and Agile development methodologies (such as Kanban or SCRUM).
  • Comfortable in an entrepreneurial, self-starting, and fast-paced environment, working both independently and with our highly skilled teams.
  • Experience with other Big Data processing technologies and cloud services (AWS, GCP, Snowflake, Hive, Hadoop, MS SQL, etc.).
  • Experience with JIRA and similar organizational tools.
  • Experience building web-scraping tools against publicly available datasets (considered an asset).
  • Experience with GIS/geospatial data processing, integration, and analysis (considered an asset).
  • Experience building or supporting data visualizations (considered an asset).
  • Deep intellectual curiosity with a results-focused relentless pursuit of answers. Ability to work in a fast-paced start-up environment, embrace change and ambiguity.
  • Hungry to learn and contribute. Our organization is growing and this role is an exceptional opportunity to grow with us.
What We Offer

We offer our regular, full-time employees a competitive total rewards package, comprehensive health, dental, and vision benefits, a savings program that includes company matching, and a learning and development budget to master your craft. In addition, we offer generous time off with regular company holidays, paid vacation days, and paid sick days.

We are an equal opportunity employer and welcome applications from diverse candidates. If you are passionate about the energy transition and have the skills and experience we are looking for, please submit your application.