Building integrations with data sources to ingest data in the central data lake using various technologies
Cleansing, joining, preparing, and transforming data from raw sources into models suited for analytics purpose
Leveraging DataOps practices such as data test automation, automated quality checks, and automated deployment - to ensure high quality and improve time to delivery
Collaborate with the members of the BI team and others within the organization to ensure data needs are met
Supporting the end users of the data and analytics, responding to tickets and inquiries from business partners when data quality issues occur
Maintaining data governance through documentation of data solutions, through ERDs, Confluence documentation, or external tools
Ensuring our enterprise data is timely and accurate
Requirements
Bachelor’s degree (B.A.) in Information Systems or other related field from a four-year college or university, or equivalent combination of education and experience
2+ years of experience
Strong SQL skills
Experience with cloud-based data warehouses, BigQuery a plus
Data modeling skills and understanding of analytical data warehousing
Understanding of data exploration, visualization, and BI tools such as Looker, Tableau, and Power BI
Experience with data pipeline and workflow management tools such as Azkaban, Luigi, Airflow
Experience with data processing using Python
Knowledge of Git
Bachelor's