Job Details

CoverMyMeds’ Technologyis looking for aSenior Data Engineer – Transactional Datato join ourDataEngineeringteam. Of note, our Data Engineering Team is a highly technicalgroup of results driven Engineers, Analysts and Architectsfocused on providing our internal and external clients with high quality, repeatable and scalable data solutions.  Together with our various business units, the work our Data Engineeringteam does ultimately helps get more people the medicine they need to live healthier lives.  

What You'll Do :

The Senior Data Engineer - Transactional Data will support and expand the data platforms that process, store, organize the data critical for our Product Engineering teams. This role will participate in the technical strategy and execution to provide trusted, stable, reliable, responsive, and secure solutions and proactively inform business partners on Data & Analytics platform and product health, and problem resolution. The Senior Data Engineer will work collaboratively with our Data Systems Analysts as well as our Product and Technology partners to solve business problems and deliver solutions. 

KeyResponsibilites:

• Design and develop solutions and commissions of complex data across systems for McKesson/CoverMyMedsinternal and external customers.  

• Develop Data Ingestion and Integration pipelines from various sources to application data stores. 

• Work with databases, files and unstructured data to identify, transport and quality test the data required to drive our data synchronization tasks to perform regular and incremental loads of data.  

• Write program/code in SQL and / or cloud based tools such as Snowflake or Databricks to cleanse, apply business logic and standardize the data according to business rules, enabling more effective data governance along with clear and efficient end-user reporting.  

• Design conceptual data model based on business reporting requirements, interacting with business partners to understand the business logic and end-use of the data.  

• Work with the application development teams to determine data needs and architect appropriate flows into production systems.  

Minimum Qualification:

Degree or equivalent and typically requires 7+ years of relevant experience

Education:

• Bachelor's degree in. Computer Science, Information Systems, or related field. 

Critical Skills:

• Strong (7+ years'), hands-on experience as a technologist working with data warehouse solutions, cloud technology, relational databases and event streaming tools such as Postgres, SQL Server, Qlik, Databricks, Kafka, etc.  

• Strong (7+ years'), hands-on experience with Azure and Azure Data Factory

• Worked with structured and unstructured data and within batch and real-time data streaming environments.  

• Experience supporting OLTP Applications, Real time Analytics, Systems Integration, and Data Governance. 

• Demonstrated expertise in database design and modeling for transactional systems. 

Preferred Skills:

• Experience with business-critical applications. 

• Experience on large-scale implementation programs. 

• Expert knowledge of cloud data technologies 

• Excellent written and verbal communication skills; timely communication with clear expectations. An active listener and clear communicator; can lead by influence. 

• Ability to find creative solutions to complex problems. 

• Exhibit a strong sense of urgency and ownership for task/project completion. 

• Highly adept at working collaboratively across multiple business and technical functions to achieve results. 

• Experience with FHIR is a plus.