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As a Data Engineer, you will work closely with members of our Business Intelligence and Infrastructure teams to improve data pipelines that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization. You will implement processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders
Responsibilities
Maintain the integrity of the Data Mart that feeds the Looker visualization application, ensure accurate representation of data in Looker
Participate in process improvement initiatives and assist in automating processes
Become the expert in multiple data sources and create/implement innovative and sustainable solutions
Collaborates with analytics and business teams to improve data pipelines that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization
Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders
Writes unit and integration tests and documents work
Performs data analysis required to troubleshoot data related issues and assist in the resolution
Works closely with all business units and engineering teams to develop strategy for long term data platform architecture
Qualifications
Degree in Computer Science or a related technical field
3+ years of development experience
Experience with programmatic workflow schedulers like Airflow, Cadence, or Luigi
Demonstrated expertise with databases and various querying techniques (SQL, NoSQL, API)
Experience with Looker or similar BI Application (Tableau, PowerBI, MicroStrategy) considered an asset
Well developed communication and presentation skills