Senior Data Engineer

BS degree in Computer Science, Information Technology, Information Systems, Data Science / Data Analytics or a similar technical field of study, or equivalent practical experience.
4+ years of experience in a Data Engineering or Analytics Engineering position
Strong expertise with 4+ years of experience building and maintaining data warehouses in support of engineering tools including SQL, python, Snowflake, DataBricks, Airflow, dbt, Tableau, FiveTran, Census, MWAA, AWS
Experience in processing structured and unstructured data into a form suitable for analysis and reporting with integration with a variety of data metric providers ranging from advertising, web analytics, and consumer devices
Desire to be actively hands-on with code; using Python and SQL along with willingness and passion for mentoring junior engineers and performing code reviews
Develop data catalogs and data cleanliness to ensure clarity and correctness of key business metrics

Implement ETL/ELT workflows for data ingestion, data matching, data cleansing, data integration, and management
Maintain existing data pipelines and develop new data pipelines using modern data stack technologies
Develop and maintain tables and data models in SQL, abstracting multiple sources and historical data across varied schemas
Responsible for leading the effort of continuously improving reliability, scalability, and stability of the enterprise data platform
Contribute to and lead the continuous improvement of the software development framework and processes by collaborating with Quality Assurance engineers
Participate in daily stand ups, team meetings, sprint planning, and demo/retrospectives while working cross-functionality with other teams to drive the innovation of our products

No preferred qualifications provided.