Azure (Data Factory, Data Lake, Web App, Logic Apps)
Python / PySpark / Apache Spark
SQL
Optional: Mongo DB
Demonstrates breadth of applied IT skills across at least two IT job profiles
Applies Integrated Risk Management, IT Operations, IT Project Management, and Enterprise Architecture skills relevant to the work
Requires at least two relevant roles and experience managing or influencing people or organizations to achieve significant IT outcomes
Defines strategy and leads the delivery and transformation of business outcomes through IT within major sub-OU services, products, or programs
Preferred Industry Certifications: Azure Data Engineer, Databricks Certified Data Engineer, Spark Developer Associate, Azure Fundamentals, Azure Data Fundamentals
Responsibilities
Assemble large complex data sets which meet functional and non-functional business requirements
Partner with data asset managers, architects, and development leads to ensure a technical solution provides data which is fit for use and in line with architecture blueprints
Contribute to and leverage coding standards and best practices to ensure services and components are efficient and reusable
Identify, design, and implement internal process improvements
Design, develop, and implement data and analytics Microsoft Azure Databricks Platform and pipelines that acquire, cleanse, transform, and publish data from a wide variety of sources