Role Description:
" 12+ Years of experience in data engineering with a focus on ETL pipeline development and at least 2 years working with Azure Cloud.
" Extensive experience in data warehousing concepts and implementation.
" Excellent, executive level, communication skills with the ability to build positive relationships across teams.
" Expertise in ETL and data movement, including relational and big data.
" Experience working in large scale Enterprise Data Lake ingestion and curation projects.
" Strong analytical and problem-solving skills; Experience with Production Support to investigate issues and resolution.
" Ability to analyze, organize and prioritize work while meeting multiple deadlines.
" Ability to work cooperatively and independently as part of a Scaled Agile pod.
" Act as a brand champion for our business area / function, both internally and externally.
" Strong expertise in one or more of the following:
o PySpark/Spark.
o Python (Pandas, Numpy, Scikit-learn)o Scala/Java
o Azure, including: Azure DataBricks, Azure Synapse/SQL Server, Azure Data Factory (ADF) and Orchestration.
" Full working experience in Source-code versioning/promotion tools, e.g. Git/Jenkins. Nexus.
" Experience with Agile concepts and the Atlassian stack (JIRA, Confluence, Stash, GIT) and Jenkins/Nexus.
Desirable Skills:
Agile working experinece