Data Engineer at Orennia focusing on building data pipelines and ELT processes. Collaborating with cross-functional teams in a dynamic, fast-paced environment.
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 proficient 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 entrepreneurial, self-starting, and fast-paced environment, working both independently and with 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
Benefits
Competitive total rewards package
Comprehensive health, dental and vision benefits
Savings program with company matching
Learning and development budget
Generous time off including holidays, paid vacation days and paid sick days
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