Data Engineer III

Cencora•Conshohocken, PA

1d•Remote

About The Position

Our team members are at the heart of everything we do. At Cencora, we are united in our responsibility to create healthier futures, and every person here is essential to us being able to deliver on that purpose. If you want to make a difference at the center of health, come join our innovative company and help us improve the lives of people and animals everywhere. Apply today! IntrinsiQ Specialty Solutions, Inc. - Develop and implement analytical applications to obtain information and turn it into knowledge to support and enable key business processes. Using logical data warehousing design principles and data access requirements to develop business analytics. Use data analytics to understand business processes and develop strategic business initiatives to help drive incremental business value from enterprise data assets.

Requirements

Requires a Bachelor’s degree or foreign equivalent in Computer Science, Computer Engineering or a related quantitative field, and two years of experience in a Data Engineer, Software Engineer or related position maintaining data processing systems and building scalable data pipelines using Azure Data Factory.
Writing complex SQL queries to perform data extraction
Troubleshooting issues in production in a timely fashion and working across teams of different skill levels
Configuring and supporting managing ETL automation with SQL Server Integration Services
developing Spark applications for data extraction, transformation, and aggregation
utilizing Azure Functions, Azure Databricks, Azure DW, Python and Scripts
working with data/information management, such as SQL, RDBMS, Data Lake/Hadoop, MDM, Metadata, and Data Quality
working with clinical data

Responsibilities

Develop and implement analytical applications to obtain information and turn it into knowledge to support and enable key business processes.
Using logical data warehousing design principles and data access requirements to develop business analytics.
Use data analytics to understand business processes and develop strategic business initiatives to help drive incremental business value from enterprise data assets.