Finance Analytics SAP BW, S4HANA & Datasphere Developer - RDT ERP
About the role
SAP BW 7.5
SAP DataSphere
Snowflake
SAP BW/4HANA
Key Responsibilities
- Deliver and maintain scalable cloud data models and data products within
SAP BW 7.5
SAP DataSphere
Snowflake
Data Mesh
principles and workforce-specific requirements.
- Analyze, understand, and translate complex workforce and HR reporting requirements from business stakeholders into technical solutions.
- Develop and deliver advanced business intelligence solutions for workforce analytics, integrating data from
SAP BW 7.5
SAP DataSphere
Snowflake
SAP BW/4HANA
(workforce financial data source).
- Manage and support the planned migration of
SAP BW 7.5
SAP DataSphere
, ensuring continuity and performance of existing reporting solutions during transition.
- Utilize
Python
SQL
as primary development languages to build robust data pipelines, transformations, and automations for workforce data.
- Conduct rigorous testing and validation to ensure the accuracy, performance, and usability of workforce data solutions.
- Collaborate closely with cross-functional, global business and IT teams within large-scale Agile project environments.
- Provide ongoing product support, troubleshooting, and optimization recommendations to ensure system reliability and performance.
- Stay ahead of industry best practices regarding cloud data warehousing, decentralized data architecture, and workforce analytics innovation.
Qualifications
- Several years of experience in
cloud data warehousing and data engineering
, ideally with a strong understanding of SAP BW environments and migration strategies to modern cloud architectures.
- Proficient in
SAP BW 7.5
SAP DataSphere
, with hands-on expertise in developing and maintaining reporting solutions (prior experience with SAP BW/4HANA is considered a strong asset).
- Demonstrated experience working with
Snowflake
as a cloud data warehouse platform.
- Experience integrating data from multiple SAP systems (e.g.,
SAP BW/4HANA
alongside other SAP BW instances) is highly valued.
- Deep conceptual and practical understanding of
Data Mesh concepts
, including data decentralization, data-as-a-product, and federated governance.
- Strong development skills in
SQL
Python
for data engineering, modeling, and scripting.
- Proven experience in product
delivery and maintenance
within cloud data platforms, demonstrating the ability to support both new development and ongoing operations.
- Proven track record of operating successfully within
Agile project frameworks
(e.g., SCRUM, SAFe, Scrum-at-Scale).
- Excellent analytical, problem-solving, and communication skills to bridge complex IT concepts with business requirements in workforce/HR domains.
- Fluency in English, with the ability to independently engage and influence cross-functional global stakeholders.
Who we are
Not included in the source posting: benefits.
Skills
Who can apply
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