Data Engineer

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 data collection, normalization, transformation, storage and reporting on AWS to support the analytic missions of Gainwell and its clients.  

Your role in our mission

• Design, develop and deploy data pipelines including ETL-processes for getting, processing and delivering data using Apache Spark Framework.
• Monitor, manage, validate and test data extraction, movement, transformation, loading, normalization, cleansing and updating processes. Build complex databases that are useful, accessible, safe and secure.
• Coordinates with users to understand data needs and delivery of data with a focus on data quality, data reuse, consistency, security, and regulatory compliance.
• 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.

What we're looking for

• 6 or more years of technical experience in product design and support working with client enterprise products, services and requirements, with health and human services experience preferred
• Knowledge of technology architecture, the product development life cycle, cloud technologies, software as a service, and product and platform configurations 
• Strong skills using and manipulating relational databases, event subscription-based communication and software development skills between modules
• Willingness to lead and take ownership over assigned work and to mentor more junior colleagues in-role
• Ability to anticipate problems, resolve ambiguous issues and take decisive action

What you should expect in this role

• Opportunities to travel through your work (0-10%)

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