Usage of Conventional AI
Virtusa utilizes Artificial Intelligence (AI) technology for the purpose of conducting candidate pre-employment assessments. This AI may include both text-based and voice-based functionalities. The AI technology will have access to the data that you upload or provide during your interaction with the AI bot and will use such data solely for the purpose of performing assessment in accordance with Virtusa policies and practices. The AI is not used to substantially assist or replace discretionary employment decisions. Read our full employee privacy policy here.
Job description
Data Engineer SAP PP Production Data ECC and S4HANA
A Data Engineer responsible for extracting and transforming SAP PP Production data from SAP ECC and SAP S4HANA for use in a target SaaS MES solution The role focuses on building reliable data pipelines using SQL collaborating with manufacturing and IT stakeholders to deliver accurate governed data
Responsibilities
SQL Extraction Develop performant SQL queries to extract PP data objects from ECC and S4HANA including Process Orders Assigned BOMs Materials Equipment and Functional Locations leveraging abstraction to avoid multiple pipelines and enable seamless system migration
Pipeline Engineering SnapLogic Work alongside SnapLogic Engineers to support the build of robust monitored SnapLogic pipelines for transformation and delivery to the SaaS MES with parameterization modular components and versioned configurations to support multi system sources
Collaboration and Governance Partner with SAP functional and technical teams and manufacturing stakeholders Adhere to data governance compliance and change control
Documentation and Support Revise User Requirement Specification URS documentation to ensure source table and field names data types and target locations are recorded for each geographical site for which data ingestions are established
Required Skills and Experience
Advanced SQL with hands on experience querying SAP ECC and SAP S4HANA PP datasets tables views joins
Solid knowledge of SAP PP objects and structures process orders BOMs materials equipment and functional locations
Highly Advantageous
Knowledge of AstraZeneca database structure naming conventions and integration patterns across manufacturing data domains
Experience working in regulated GxP environments with strong documentation auditability and compliance practices
Qualification
Data Engineer SAP PP Production Data ECC and S4HANA
A Data Engineer responsible for extracting and transforming SAP PP Production data from SAP ECC and SAP S4HANA for use in a target SaaS MES solution The role focuses on building reliable data pipelines using SQL collaborating with manufacturing and IT stakeholders to deliver accurate governed data
Responsibilities
SQL Extraction Develop performant SQL queries to extract PP data objects from ECC and S4HANA including Process Orders Assigned BOMs Materials Equipment and Functional Locations leveraging abstraction to avoid multiple pipelines and enable seamless system migration
Pipeline Engineering SnapLogic Work alongside SnapLogic Engineers to support the build of robust monitored SnapLogic pipelines for transformation and delivery to the SaaS MES with parameterization modular components and versioned configurations to support multi system sources
Collaboration and Governance Partner with SAP functional and technical teams and manufacturing stakeholders Adhere to data governance compliance and change control
Documentation and Support Revise User Requirement Specification URS documentation to ensure source table and field names data types and target locations are recorded for each geographical site for which data ingestions are established
Required Skills and Experience
Advanced SQL with hands on experience querying SAP ECC and SAP S4HANA PP datasets tables views joins
Solid knowledge of SAP PP objects and structures process orders BOMs materials equipment and functional locations
Highly Advantageous
Knowledge of AstraZeneca database structure naming conventions and integration patterns across manufacturing data domains
Experience working in regulated GxP environments with strong documentation auditability and compliance practices
Key job details
About Virtusa
Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 30,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.
Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.
Virtusa is an Equal Opportunity Employer. All applicants will receive fair and impartial treatment without regard to race, color, religion, sex, national origin, ancestry, age, legally protected physical or mental disability, protected veteran status, status in the U.S. uniformed services, sexual orientation, gender identity or expression, marital status, genetic information or on any other basis which is protected under applicable federal, state or local law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government-issued ID during each interview. All candidates must be authorized to work in the USA.
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