Purpose
In Digital, we develop innovative member and team member experiences that leverage the latest technologies in open source and the Cloud. Digital Information Management (DIM) is a team of engineers committed to championing a data- driven decision-making culture and meets the business demand for timely insight-focused analytics and information delivery.
You will be working with all levels of technology from backend data processing technologies (Databricks/Apache Spark) to other Cloud computing technologies / Azure Data Platform. You should be a strong analytical thinker, detail-oriented and love working with data with a strong background in data engineering and application development. Must be a hand-on technologist passionate about learning new technologies and help improve the ways we can better leverage Advanced Analytics and Machine Learning.
Responsibilities
- Build end-to-end direct capabilities.
- Create and maintain optimal data pipeline architecture.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources.
- Use analytics for capitalizing on the data for making decisions and achieving better outcomes for the business.
- Derive insights to differentiate member and team member experiences.
- Collaborate with cross-functional teams.
- Analyze and define with product teams the data migration and data integration strategies.
- Apply experience in analytics, data visualization and modeling to find solutions for a variety of business and technical problems.
- Querying and analyzing small and large data sets to discover patterns and deliver meaningful insights.
- Integrate source systems with information management solutions and target systems for automated migration processes.
- Create proof-of-concepts to demonstrate viability of solutions under consideration.
Qualifications
- Strong hands-on experience leading design thinking as well as the ability to translate ideas to clearly articulate technical solutions.
- Bachelor’s degree in computer science, information systems, or other technology-related field or equivalent number of years of experience.
- Advanced hands-on experience implementing and supporting large scale data processing pipelines and migrations using technologies (eg. Azure Services, Python programming)
- Significant hands-on experience guiding technical teams as a mentor while leading collaboration with multiple teams across the organization.
- Significant hands-on experience with Azure services such as Azure Data Factory, Azure Databricks, Azure Data Lake Storage (ADLS Gen2), Azure SQL, and other data sources.
- Significant hands-on experience designing and implementing reusable frameworks using Apache Spark (PySpark preferred or Java/Scala)
- Solid foundation in data structures, algorithms, design patterns and strong analytical and problem-solving skills.
- Experience with any of the following Analytics and Information Management competencies: Data Management and Architecture, Performance Management, Information Delivery and Advanced Analytics Posting Description – Digital Data Engineer
Desired
Proficiency in collaborative coding practices, such as pair programming, and ability to thrive in a team-oriented environment
The following certifications:
- Microsoft Certified Azure Data Engineer
- Microsoft Certified Azure Solutions Architect
- Databricks Certified Associate Developer for Apache 2.4/3.0
