Salary
💰 $92,000 - $120,750 per year
Tech Stack
AzurePySparkSQL
About the role
- Operates as a technology contributor by implementing updates to SAP BW extractors, transformations, info packages, process chains as well as Analyzer report modifications
- Operates as a technology contributor in Azure Data Engineering by implementing modern data solutions with Azure Synapse Workflows, Data Pipelines, Notebooks, and SQL data warehousing solutions
- Functions as a task leader on large projects and/or project leader on small projects; coordinates resources, milestone schedules and related communication; responsible for delivery of an assigned scope of work.
- Confers with business and IT team members, including cross functional team members, to determine requirements while using best practices to support business needs
- Estimates configuration and development efforts for self and functional area - Leads and/or assists team members with problem solving related to performance and usage; collaborates across teams as needed
- Participates in and supports change management standards and procedures; assists in developing standards and procedures when required
- Writes system documentation, user manuals, and develops/conducts user training
- Evaluates make vs. buy system alternatives under general direction; maintains awareness of current technologies and trends; assimilates new technology into company work environment
- Develops technical and business proficiency through education, work assignments, research and technical/user group participation; demonstrates practical application of learning and actively shares knowledge across functional area
- Performs other duties as required/assigned by Manager.
- Performs duties consistent with the company’s AAP/EEO goals and policies
Requirements
- Bachelor’s degree in Computer Science, Information Technology, or a related field
- 5+ years of experience in SAP BW development
- 1+ years of experience with Microsoft Azure data engineering toolsets (Azure Synapse Workflows/Pipelines, PySpark notebooks, Function apps, ADLS, etc)
- Strong understanding of data extraction, transformation, data modeling, governance and security
- Strong analytical, problem solving and organizational skills
- Good understanding of ABAP programming with respect to extractor enhancements, transformations, Function Modules, BAPI’s and BADI’s
- Good understanding of SAP AFS Functional Areas, Sales and Distribution, Order to Cash, Material Management, Procure to Pay
- Experience with Microsoft Azure data engineering toolsets a plus (Azure Data Factory, Synapse)