BS in an Engineering or Science discipline, or equivalent experience
7+ years of software/data engineering experience using Java, Scala, and/or Python, with at least 5 years experience in a data focused role
Experience in data integration (ETL/ELT) development using multiple languages (e.g., Java, Scala, Python, PySpark, SparkSQL) and modern transformation methods (e.g., dbt)
Experience building and maintaining data pipelines supporting a variety of integration patterns (batch, replication/CDC, event streaming) and data lake/warehouse in production environments
Experience with AWS-based data services technologies (e.g., Kinesis, Glue, RDS, Athena, etc.) and Snowflake CDW
Experience of working in the larger initiatives building and rationalizing large scale data environments with a large variety of data pipelines, possibly with internal and external partner integrations, would be a plus
Willingness to experiment and learn new approaches and technology applications
Knowledge and experience with various relational databases and demonstrable proficiency in SQL and supporting analytics uses and users
Knowledge of software engineering and agile development best practices
