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SAP
SAP

The best-run businesses run SAP.

Senior Data Engineer (Graph Developer) Bangalore North Devanhalli Campus

職種データエンジニアリング
経験シニア級
勤務オンサイト
雇用正社員
掲載1ヶ月前
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必須スキル

Python

AWS

Spark

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 you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.

Job title – Senior Data Engineer Graph Developer: SF Skills Intelligence Foundation (Python/Pyspark)

Work Location: Bangalore North – Devanahalli Innovation Campus

What you'll do

As a Data Engineer in the Skills Intelligence team, you will:

  • Lead the design and implementation of scalable data integration, transformation

  • Build robust ETL pipelines and automate data workflows leveraging Python/Pyspark

  • Perform GDS analysis based on graph ontology

  • Engage directly with stakeholders across functions and geographies to gather requirements and align technical delivery with strategic objectives.

  • Act as a trusted advisor to project teams, mentoring developers, and promoting best practices in software design and delivery.

  • Collaborate closely with SAP product teams, partners, and customers to continuously improve content ingestion, metadata modeling, and knowledge graph integration.

What you bring

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.

  • 8-10 years of overall experience in software development.

  • Strong programming skills in Python, with practical experience developing ETL frameworks and automation tools.

  • Has actual project experience in data pipeline development, particularly ETL processes.

  • Has actual project experience in data platform like Databricks, Snowflake, Google Big Query, AWS Redshift

  • Knowledge of unit testing practices to ensure functionality and reliability.

  • Strong understanding of graph ontology concepts with hands-on experience designing and maintaining graph data models and schemas, including definition of nodes, edges, properties, indexing strategies, and data governance practices to ensure scalability and clarity.

  • Proven experience building and optimizing graph queries and traversals using languages such as Cypher**,Gremlin,**SPARQL, and SAP HANA Graph with a strong focus on performance tuning (profiling, caching, query rewrites) to meet defined latency and throughput SLAs.

  • Experience building and operating data ingestion and ETL pipelines using modern distributed processing frameworks such as Apache Spark or similar technologies to populate and refresh graph datasets.

  • Hands-on experience deploying, operating, and scaling graph database clusters such as Neo4j**,Janus Graph,**Amazon Neptune, and SAP HANA Graph including capacity planning, fault tolerance, and performance optimization.

  • Strong Python background for pipeline development, automation, and integration with downstream systems (preferred).

  • Excellent communication skills and a passion for technology, innovation, and team collaboration.

Meet your team:

SAP Success Factors, we have started a Human Revolution. Using the latest technology, we are unlocking human potential and transforming our customer’s workforces in ways they never imagined.  We are digitally transforming their businesses into the next generation of intelligent enterprises.  Because people are at the heart of every business transformation, people are the heart of our business.  The SAP Success Factors product suite spans core human resources, Time, Payroll, analytics-based hiring and customized onboarding, continuous performance management, intelligent succession, Learning and more.

We operate the largest HCM Cloud in the world, supporting over 120 million users with over a billion transactions for customers across 26 industries in over 90 countries.  Our co-located agile teams have end-to-end ownership of product, design, development, release, user assistance, and cloud operations capabilities.   We are in the forefront of the Skills Intelligence market and are looking for the best talent to join our team and deliver continuous innovations in the cloud while bringing purpose to their lives and more meaning to their work.  Join us today and become a part of the Human Revolution.

#DevT3 #Life AtSAP

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
SAP’s 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 employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com.

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.

Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.

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: 447486 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations:

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SAPについて

SAP

SAP

Public

The best-run businesses run SAP.

10,001+

従業員数

Walldorf

本社所在地

$157B

企業価値

レビュー

10件のレビュー

3.8

10件のレビュー

ワークライフバランス

3.2

報酬

3.5

企業文化

4.1

キャリア

3.4

経営陣

3.6

65%

知人への推奨率

良い点

Flexible hours and remote work options

Supportive management and team collaboration

Good benefits and training programs

改善点

Work-life balance challenges and overwhelming workload

Fast-paced environment with unrealistic deadlines

Limited career advancement opportunities

給与レンジ

2件のデータ

Intern

L3

L4

L5

Intern · Data Scientist

0件のレポート

$68,766

年収総額

基本給

-

ストック

-

ボーナス

-

$58,453

$79,079

面接レビュー

レビュー5件

難易度

4.0

/ 5

期間

14-28週間

体験

ポジティブ 0%

普通 40%

ネガティブ 60%

面接プロセス

1

Application Review

2

HR/Recruiter Screen

3

Phone/Technical Screen

4

Hiring Manager Interview

5

Onsite/Panel Interview

6

Technical Assessment

よくある質問

Technical Knowledge

Coding/Algorithm

Behavioral/STAR

Past Experience

SAP-Specific Technical Skills