As a Data Engineer you are responsible for:
- Engage and deliver around Business Data cloud (BDC) as Date Engineer which is foundation of artificial intelligence and machine learning scenarios of SAP
- Perform the role of a technical lead on projects/services of Data and Analytics.
- Act as a trusted advisor/technical architect on Data and Analytics domain for the customer
- Engage in Data Preparation, Data Integration, Data Management and preparation tasks in BDC/Datasphere
- Understand business processes, select best approaches, evaluate their performance and assess business relevance to implement for Data mesh, data modelling and Data governance.
- Support in preparation of Data Science, AI, ML Embedded in S/4, Databricks and other solutions.
- Expand own skill sets to other and upcoming areas of AI, ML, Predictive Analytics of SAP
- Data product thinking, ready for Estimation and planning, Risk management, Methods and governance
- Analytical, results-driven with solution-oriented approach, team player and yet can work independently
- Possess exceptional interpersonal and communication skills
- Must be open to travel.
Required skills (must have):
Experience in one or more of the following topics:
- Exposure to SAP Datawarehouse cloud, SAP BW, SAP Hana, Planning
- Hana Data modeling / manipulation / Data ingestion, SQL based transformations and performance design
- Secure retrieval from Datasphere/HANA via Open SQL; chunking, embeddings, vectors
- SQL based transformations and performance evaluation and design
- Data modeling and semantics - Dimensional and semantic modeling for analytic, Replication vs. federation trade offs; CDC, scheduling/monitoring
- SQL optimization, calculation view modeling patterns, pruning, caching strategies
- Experienced in building connections, virtual vs. replicated data, SQL/graphical views, replication/data flows
- SAP data & analytics landscape expertise on SAP BW 7.x and BW/4HANA, S/4HANA analytics touchpoints (CDS views, embedded analytics, integration patterns)
- Open SQL schema consumption patterns for external compute/ML notebooks
- Very good analytical skills to solve complex problems; a structured, reliable and independent way of working under pressure; a safe and friendly appearance and general communication skills.
Preferred skills (good to have)
- Analytics and Visualization tools like SAP Analytics cloud, Business Objects.
- Scripting and automation - Python for data/ML workflows against HANA Cloud/Datasphere (hdbcli, hana-ml, JDBC/ODBC)
- Orchestration/monitoring patterns for data pipelines
- Python + hana-ml integration; optional AI Core for ML ops
- Understanding of REST, OAuth/SAML basics; JSON, Parquet, CSV,
- Understanding of SPARQL query language and syntax.
- Knowledge of RDF (Resource Description Framework) and graph databases.
- Knowledge of RDF data modeling and schema design.
EDUCATION AND QUALIFICATIONS / COMPTENCIES
- Graduate or master s degree in computer or Electronics & Communication Engineering / Computer science / Information Technology systems/ Computer applications / IT Business Systems or equivalent. /Master/Bachler of Science in Comp Science/Technology
- Must have excellent communication and collaboration with team members, customers and senior level management team.
- Coordination support for important customer issues (investigating, providing workarounds) for complex and cross-component issues.
- Experience in communication with customers and managing expectations.
- Proactive in learning and highly self-motivated
WORK EXPERIENCE
- 13 to 15 years of relevant work experience delivering project/service as lead and expert.
- At least 3 projects delivered as lead and 3 projects as expert.
- Good in value and business outcome framing, Proposal/SOW structure, scoping language, assumptions/constraints.
- Understand key industry metrics, value drivers, and common analytics use cases
- Experience in Client/ Customer interaction
- Experience in System Administration / Support /Service / delivery / Team Lead.
