CoE - Data Analytics Engineer

SAP

5 - 9 years

7 - 11 Lacs

bengaluru

Posted:-1 days ago| Platform:

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Skills Required

data analysis sap data management analytical consulting scheduling monitoring customer interaction sql business operations

Work Mode

Work from Office

Job Type

Full Time

Job Description

As a Data Engineer you are responsible for:

Engage and deliver around Business Data cloud (BDC) as Data Engineer which is foundation of artificial intelligence and machine learning scenarios of SAP
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
Analytical, results-driven, and have a solution-oriented approach. Work as a team player yet can work independently.
interpersonal and communication skills including verbal, written presentation, and listening.
Must be open to travel.

Required skills (must have):

Experience in SAP data & analytics landscape expertise on SAP BW 7.x and BW/4HANA, S/4HANA
Hana Data modeling / manipulation / Data ingestion, SQL based transformations and performance design
Secure retrieval from Datasphere/HANA via Open SQL;
ISQL Expertise, 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
Worked on CDS views, embedded analytics, integration patterns
Open SQL schema consumption patterns for external compute/ML notebooks

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, chunking, embeddings, vectors

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

5 to 9 years of relevant work experience.
At least 2 projects exposed as Data Warehouse, Data Analysis, modeler, Embedded ML in S/4
Experience in Client/ Customer interaction
Experience in System Administration / Support
ABAP/Basis Skillset is plus.

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