CoE Senior Data Analytics Engineer

2 weeks ago


Bengaluru, Karnataka, India SAP Full time

We help the world run better

At SAP, we keep it simple you bring your best to us, and we'll bring out the best in you

We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next

The work is challenging but it matters

You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong

What's in it for youConstant learning, skill growth, great benefits, and a team that wants you to grow and succeed

Meet your team

At SAP, were more than just the global leader in business softwarewere a driving force behind the worlds economic engine

Here, your ideas dont just matterthey make a real difference

As part of our Center of Expertise (CoE) within Premium Hub youll work alongside top talent to deliver cutting-edge support to our most strategic customers, including those in MaxAttention and challenging workstream We believe in proactive, long-term partnerships built on trust, respect, and a deep understanding of our customersunique business needs

Our mission is to co-create value by improving IT and business operations, safeguarding critical projects, and driving innovation

What Youll Do

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

What You Bring

Required skills (must have)

You should have 10+ yearsexperience in implementing, developing, servicing, SAP Datawarehouse technologies of SAP BW, SAP Hana

Hana Data modeling / manipulation / Data ingestion, SQLbased 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 tradeoffs; 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 masters 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

#SAPEAAPJCareers

Bring out your best

SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively

Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management

As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development

Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves

At SAP, you can bring out your best

We win with inclusion

SAPs culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone regardless of background feels included and can run at their best

At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential

We ultimately believe in unleashing all talent and creating a better world

SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities

If you are interested in applying for

For SAP employees Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy

Specific conditions may apply for roles in Vocational Training

Successful candidates might be required to undergo a background verification with an external vendor

AI Usage in the Recruitment Process

For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process

Please note that any violation of these guidelines may result in disqualification from the hiring process

Requisition ID | Work Area Consulting and Professional Services | Expected Travel 0 10% | Career Status Professional | Employment Type Regular Full Time | Additional Locations



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