Job Description:
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 Client 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

1. Strong hands-on experience leading design thinking as well as the ability to translate ideas to clearly articulate technical solutions.
2. Bachelor s degree in computer science, information systems, or other technology-related field or equivalent number of years of experience.
3. Advanced hands-on experience implementing and supporting large scale data processing pipelines and migrations using technologies (eg. Azure Services, Python programming)
4. Significant hands-on experience guiding technical teams as a mentor while leading collaboration with multiple teams across the organization.
5. 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.
6. Significant hands-on experience designing and implementing reusable frameworks using Apache Spark (PySpark preferred or Java/Scala)
7. Solid foundation in data structures, algorithms, design patterns and strong analytical and problem-solving skills.
8. 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

Hours: Monday Friday, 8:00 AM 4:30 PM
Location: Remote

Top Skills:
This position is seeking an experienced Azure data engineer with the following knowledge, skills, and abilities:

• Well versed using Azure/Databricks and related technology tools and data sources (ADF, ADLS, Azure SQL)
• Strong hands-on programming experience writing Python code and developing data pipelines
• Strong problem-solving skills and ability to find solutions to improve and optimize processes