Basic Qualifications:

· Bachelor’s degree or higher in Computer Science, or equivalent degree and 3-10 years related working experience.

· In-depth experience with a big data cloud platform, preferably Azure.

· Strong grasp of programming languages (Python, PySpark, or equivalent) and a willingness to learn new ones.

· Experience writing database-heavy services or APIs.

· Experience building and optimizing data pipelines, architectures, and data sets. 

· Working knowledge of queueing, stream processing, and highly scalable data stores 

· Experience working with and supporting cross-functional teams.

· Strong understanding of structuring code for testability.

Preferred Qualifications:

· Professional experience implementing and maintaining MLOps pipelines in MLflow or AzureML.

· Professional experience implementing data ingestion pipelines using Data Factory.

· Professional experience with Databricks and coding with notebooks.

· Professional experience processing and manipulating data using SQL and Python code.

· Professional experience with user training, customer support, and coordination with cross-functional teams.