SAP BTP Senior Engineer

Mars

Arujá

Presencial

BRL 250 000 - 420 000

Tempo integral

14 dias+
Gerador de candidaturas

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Resumo da oferta

Mars is seeking a skilled data & analytics leader in São Paulo to design and deliver SAP Datasphere and Business Data Cloud solutions across the enterprise. You will define data models, pipelines, and governance while integrating SAP and non-SAP sources and guiding a cadre of data professionals.

Experience with Databricks, Snowflake, and cloud platforms, plus Python and PowerShell, is preferred. You will drive data quality, security, and scalable analytics initiatives across Mars.

Qualificações

  • Bachelor’s degree in Computer Science or equivalent experience.
  • Graduate-level degree is desirable.
  • Strong experience in SAP Data & Analytics stack (Datasphere / BW/4HANA / BTP, SAC, Fiori and Joule).
  • Expertise in data modelling, ETL/ELT, and data integration.
  • Knowledge of SAP Business Data Cloud concepts and architecture.
  • Hands-on experience with APIs, data services, and cloud integrations.
  • Strong understanding of data governance and data quality frameworks.
  • Knowledge of Azure, GCP, Databricks, Snowflake and other cloud platforms.
  • Experience with Python and PowerShell preferred.
  • Experience with Splunk and Power BI preferred.

Responsabilidades

  • Lead design and implementation of SAP Datasphere, Business Data Cloud solutions for enterprise data and analytics use cases.
  • Define and manage data models, data pipelines, and data governance frameworks across SAP and non-SAP systems.
  • Drive integration with S/4HANA, BTP, Datasphere, BW, and external data sources.
  • Ensure data quality, security, and compliance standards are met.
  • Provide technical leadership, solution architecture guidance, and best practices.
  • Define context, metadata and semantic models, set up knowledge graphs; design and implement data products leveraging CDS.
  • Establish connections from SAP Datasphere / BDC to Mars Databricks and Snowflake for seamless analytics experience.
  • Build platforms to lower barriers to entry for associates to engage in data, analytics and AI services.
  • Engage, negotiate and influence internal stakeholders to establish priorities with highest business impact.
  • Ensure handoffs and interdependencies between Hub, 3rd party firms and stakeholders for value delivery and scale.
  • Define solutions for Mars business processes with clear business case and ROI.
  • Identify capability gaps and propose solutions to address them.
  • Responsible for operational excellence and service management across data, analytics and AI services.
  • Collaborate with a large network of teams to ensure coordinated testing and modifications.
  • Manage capacity and RBACs; control access management and credentials for data/AI projects.
  • Design and oversee governance and control processes with Security, Controls, EA, Identity teams.
  • Provide training, support and consultation for partners and federated users.

Conhecimentos

SAP Datasphere
SAP Business Data Cloud
Data modelling
ETL/ELT
APIs & cloud integrations
Data governance
Cloud platforms (Azure, GCP, Databrics
Python
PowerShell
Splunk
Power BI
SAC
Fiori
Joule

Formação académica

Bachelor's degree in Computer Science or equivalent
Graduate-level desirable

Ferramentas

SAP Datasphere
SAP BW/4HANA
SAP BTP
Databricks
Snowflake
SAC
Python
PowerShell
Splunk
Power BI

Descrição da oferta de emprego

Job Description:

What are we looking for?
  • Bachelor’s degree in Computer Science - or equivalent in experience

  • Graduate-level desirable

  • Strong experience in SAP Data & Analytics stack (Datasphere / BW/4HANA / BTP, SAC, Fiori and Joule)

  • Expertise in data modelling, ETL/ELT, and data integration

  • Knowledge of SAP Business Data Cloud concepts and architecture

  • Hands‑on experience with APIs, data services, and cloud integrations

  • Strong understanding of data governance and data quality frameworks.

  • Knowledge of Azure, GCP, Databricks, Snowflake and other cloud platforms

  • Experience with Python and PowerShell preferred.

  • Experience with Splunk and Power BI preferred

What will be your key responsibilities?
  • Lead design and implementation of SAP Datasphere, Business Data Cloud (BDC) solutions for enterprise data and analytics use cases

  • Define and manage data models, data pipelines, and data governance frameworks across SAP and non-SAP systems

  • Drive integration with S/4HANA, BTP, Datasphere, BW, and external data sources

  • Ensure data quality, security, and compliance standards are met

  • Provide technical leadership, solution architecture guidance, and best practices

  • Define context, metadata and semantic models, set up knowledge graphs; and design and implement primary, derived, standard and customized data products that leverage common data structures (CDS).

  • Establish connections from SAP Datasphere / BDC instance to Mars instances of Databricks and Snowflake to provide a seamless experience across operational, advanced and ad hoc analytics.

  • Build platforms to lower the barriers to entry so more associates can participate, in effect, enabling the adoption of data, analytics and AI services and capabilities.

  • Engage, negotiate and influence internal stakeholders to establish priorities in line with the highest business impact.

  • Ensure the key handoffs and interdependencies between Hub, 3rd party firms and business stakeholders to ensure successful value delivery and ability to scale.

  • Define solutions for Mars business processes with clear articulation of business case and ROI.

  • Identify the capability gaps that are hindering progress and propose solutions to address them.

  • Responsible for operational excellence and service management across data, analytics and AI services and capabilities

  • Collaborate with a large network of teams across the enterprise to ensure coordinated and proactive testing and modification before changes or maintenance activities

  • Manage capacity and utilization of servers and users, establish RBACs, and facilitate access management and credentials to ensure effective data and AI project management.

  • Design, maintain and oversee governance and control processes in collaboration with Security, Controls, Enterprise Architecture, and Identity teams.

  • Training, support and consultation for partners, federated users, and key stakeholders

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