Summary
We’re looking for a dynamic data engineer with Apache Spark and AWS experience to join the data analytics team at Gainwell Technologies. You will have the opportunity to work as part of a cross-functional team to define, design and deploy frameworks for normalization, transformation, storage and reporting on AWS to support the analytic missions of Gainwell. This role is strictly involved in the development of the product and does not involve access to Protected Health Information (PHI) & Personally Identifiable Information (PII) or any secured/confidential client data. The work is limited to application development & demo and does not include handling or processing of sensitive health information.
Essential Job Functions
• Design, develop and deploy pipelines including ETL-processes for getting, processing and delivering data using Apache Spark Framework.
• Monitor, manage, validate and synthetic test data extraction, movement, transformation, loading, normalization, cleansing and updating processes.
• Coordinates with users to understand data needs and delivery of data with a focus on data quality, data reuse, consistency.
• Collaborate with team-members on data models and schemas in our data warehouse.
• Collaborate with team-members on documenting source-to-target mapping.
• Conceptualize and visualize data frameworks
• Communicate effectively with various internal and external stakeholders.
Basic Qualifications
• Bachelor's degree in computer sciences or related field
• Relevant experience 5 to 8 years for Professional
• Expertise in ETL Processing/data architecture or equivalent.
• 3+ years of experience working with big data technologies on AWS/Azure/GCP
• 2+ years of experience in the Apache Spark/DataBricks framework (Python/Scala)
• Databricks and AWS developer/architect certifications a big plus
• Strong understanding of HEDIS
• Ability to lead and mentor a team of engineers
Other Qualifications
• Strong project planning and estimating skills related to area of expertise
• Strong communication skills
• Good leadership skills to guide and mentor the work of less experienced personnel
• Ability to be a high-impact player on multiple simultaneous engagements
• Ability to think strategically, balancing long and short-term priorities
• Willingness to travel
