Conexess Group is seeking a Senior Data Engineer with expertise in enterprise data warehousing and data orchestration. The role involves designing and implementing Azure-based data engineering solutions, enhancing SAP BW, and collaborating with stakeholders to deliver scalable data solutions.
Responsibilities:
- Serve as a hands-on technical contributor supporting SAP BW by enhancing extractors, transformations, InfoPackages, process chains, and Analyzer reports
- Design and implement modern Azure-based data engineering solutions using Azure Synapse workflows, data pipelines, notebooks, and SQL-based data warehousing
- Act as a task lead on large initiatives or project lead on smaller efforts, coordinating resources, timelines, milestones, and communication to ensure successful delivery
- Partner closely with business stakeholders and cross-functional IT teams to gather requirements and deliver scalable data solutions aligned with best practices
- Estimate development and configuration effort for assigned work and support team members with performance optimization and troubleshooting
- Collaborate across teams to resolve complex technical issues and improve system usage and efficiency
- Participate in change management processes, adhering to established standards and assisting with the development of new standards and procedures as needed
- Create and maintain system documentation and user guides; develop and deliver user training as required
- Evaluate 'make vs. buy' technology options under general direction and stay current on emerging technologies and industry trends
- Continuously build technical and business expertise through training, research, and participation in technical or user groups, while actively sharing knowledge with peers
- Perform additional duties as assigned and operate in alignment with the company’s AAP/EEO policies
Requirements:
- Bachelor's degree in Computer Science, Information Technology, or a related field
- 5+ years of experience in SAP BW development
- 1+ year of hands-on experience with Microsoft Azure data engineering tools, including Azure Synapse (workflows and pipelines), PySpark notebooks, Azure Data Lake Storage (ADLS), and Function Apps
- Strong understanding of data extraction, transformation, data modeling, governance, and security concepts
- Solid analytical, problem-solving, and organizational skills
- Working knowledge of ABAP related to extractor enhancements, transformations, Function Modules, BAPIs, and BADIs
- Functional understanding of SAP AFS modules, including Sales & Distribution, Order-to-Cash, Materials Management, and Procure-to-Pay
- Experience with Azure Data Factory and Azure Synapse is a plus