Hands on experience as Lead with executing and delivering 2 or more full life cycle SAP S/4HANA MDG implementation project.
Deep understanding on key SAP MDG concepts – Data Modelling UI Modelling Process Modelling Governance Process Mass Processing DRF DIF BRF and Data Quality.
Configure Design Build Test and Deploy the core SAP MDG solution and ensure it works seamlessly.
Experience in implementing SAP S/4HANA.
Expertise in Implementation of SAP MDG Solution for masters like Material BP etc.
Experience in Configuring rule-based Workflows - serial parallel and combination.
Experience in User interface modelling.
Experience in integration techniques like ALE SOA.
Excellent stakeholder management and relationship building skills and an ability to communicate flexibly with technical and non-technical stakeholders.
Minimum of 5 years’ experience in data engineering or related field. .
Strong experience with Databricks Apache spark and other big data technologies .
Proficiency in SQL and programming languages such as Python Scala. .
Experience with data pipeline development data warehousing and data governance. .
Stronge understanding of data architectures data modeling data warehousing concepts .
Excellent problem-solving skills and attention to detail. .
Strong communication and collaboration skills.
Good-to-Have
Experience in MDG Consolidation and Mass Processing.
Experience in MDG with Central Governance.
Experience with MDG related Fiori apps.
Worked for a Life Science Business Preferably Pharma/Chemical Industry.
Experience with cloud-based data platforms such as AWS Azure or GCP. .
Experience with agile development methodologies and version control systems. .
Certification in Databricks or Apache spark
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Responsibility of / Expectations from the Role
1.
Lead MDG databricks technical team from offshore to deliver the MDG solutions to respective data streams.
2.
Gather requirements and provide an estimate for development effort
3.
Excellent knowledge of the MDG modules combined with a good understanding of Databricks and associated business processes in connected S4 HANA system.
4.
Participate in SAP MDG implementations and develop master data maintenance solutions using the latest technology and tools similar to Databricks
5.
Support Master Data WRICEF Developments along with the technical team.
Must-Have(Ideally it should not be more than 3-5)Hands on experience as Lead with executing and delivering 2 or more full life cycle SAP S/4HANA MDG implementation project.Deep understanding on key SAP MDG concepts – Data Modelling UI Modelling Process Modelling Governance Process Mass Processing DR...
Must-Have
(Ideally it should not be more than 3-5)
Hands on experience as Lead with executing and delivering 2 or more full life cycle SAP S/4HANA MDG implementation project.
Deep understanding on key SAP MDG concepts – Data Modelling UI Modelling Process Modelling Governance Process Mass Processing DRF DIF BRF and Data Quality.
Configure Design Build Test and Deploy the core SAP MDG solution and ensure it works seamlessly.
Experience in implementing SAP S/4HANA.
Expertise in Implementation of SAP MDG Solution for masters like Material BP etc.
Experience in Configuring rule-based Workflows - serial parallel and combination.
Experience in User interface modelling.
Experience in integration techniques like ALE SOA.
Excellent stakeholder management and relationship building skills and an ability to communicate flexibly with technical and non-technical stakeholders.
Minimum of 5 years’ experience in data engineering or related field. .
Strong experience with Databricks Apache spark and other big data technologies .
Proficiency in SQL and programming languages such as Python Scala. .
Experience with data pipeline development data warehousing and data governance. .
Stronge understanding of data architectures data modeling data warehousing concepts .
Excellent problem-solving skills and attention to detail. .
Strong communication and collaboration skills.
Good-to-Have
Experience in MDG Consolidation and Mass Processing.
Experience in MDG with Central Governance.
Experience with MDG related Fiori apps.
Worked for a Life Science Business Preferably Pharma/Chemical Industry.
Experience with cloud-based data platforms such as AWS Azure or GCP. .
Experience with agile development methodologies and version control systems. .
Certification in Databricks or Apache spark
#
Responsibility of / Expectations from the Role
1.
Lead MDG databricks technical team from offshore to deliver the MDG solutions to respective data streams.
2.
Gather requirements and provide an estimate for development effort
3.
Excellent knowledge of the MDG modules combined with a good understanding of Databricks and associated business processes in connected S4 HANA system.
4.
Participate in SAP MDG implementations and develop master data maintenance solutions using the latest technology and tools similar to Databricks
5.
Support Master Data WRICEF Developments along with the technical team.