Lead Data Engineer

Basic Qualifications
5+ years of data engineering experience developing large data pipelines Strong algorithmic problem-solving expertise Strong fundamental Scala and Python programming skills Basic understanding of AWS or other cloud provider resources (S3) Strong SQL skills and ability to create queries to analyze complex datasets Hands-on production environment experience with distributed processing systems such as Spark Hands-on production experience with data pipeline orchestration systems such as Airflow for creating and maintaining data pipelines Some scripting language experience Willingness and ability to learn and pick up new skillsets Self-starting problem solver with an eye for detail and excellent analytical and communication skills Preferred Qualifications Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query) Experience in developing APIs with GraphQL Deep Understanding of AWS or other cloud providers as well as infrastructure as code Familiarity with Data Modeling techniques and Data Warehousing standard methodologies and practices Familiar with Scrum and Agile methodologies Required Education: Bachelor s or Master s Degree in Computer Science, Information Systems equivalent industry experience
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