Job description

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. • Bachelors 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. 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 •

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