CoE - Senior Data Analytics Engineer

SAP

10 - 15 years

20 - 25 Lacs

bengaluru

Posted:-1 days ago| Platform:

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Skills Required

data analysis automation sap data management 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:

Deliver as Data engineer in Business Data cloud (BDC) 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
Must be able to work as a team player yet can work independently.
Analytical, results-driven, and have a solution-oriented approach.
Possess exceptional interpersonal and communication skills including verbal, written presentation, and listening.
Must be open to travel.

Required skills (must have) :

You should have 10+ years experience in implementing, developing, servicing, SAP Datawarehouse technologies of SAP BW, SAP Hana.
Hana Data modeling / manipulation / Data ingestion, SQL based transformations and performance design
Secure retrieval from Datasphere/HANA via Open SQL; chunking, embeddings, vectors
Data modeling and semantics - Dimensional and semantic modeling for analytic, Replication vs. federation trade offs; CDC, scheduling/monitoring
Experience in ETL tools like SDI, SDA, SLT of data ingestion technologies.
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.
Good exposure and relative eperience in Data Architecture, Data modelling of Data sphere
Worked in visualization tools like SAC, BOBJ, Bex Analyzer

Preferred skills (good to have)

Analytics and Visualization tools like SAP Analytics cloud, Business Objects.
Knowhow on Databricks, Snowflake, Google Analytics is added advantage.
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
Knowhow in AI technologies (AI, MCP, Agent-to-Agent, Joule and/or code-based agent frameworks

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

10+ years of relevant work experience.
At least 3 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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