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SAP • Bangalore, IN

Engineering Expert - Business Data Cloud - Data Product Runtime Team

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Job Description

We help the world run better

At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from.

Job Title: Engineering Expert – Business Data Cloud - Data Product Runtime Team

Job Description:

As an Engineering Expert, you will be instrumental in the expansion of our Foundation Services team in Bangalore. Your profound expertise in distributed data processing, Spark optimization, and data transformation pipelines will drive scalable data solutions, reinforcing SAP Business Data Cloud's pivotal role in SAP's Data & AI strategy.

Responsibilities:

  • Lead the design and execution of optimized data processing solutions.

  • Spearhead Spark optimization strategies to maximize performance and scalability in data processing.

  • Architect and refine pluggable data transformation pipelines for efficient processing of large datasets.

  • Implement GitOps practices to advance CI/CD pipelines and operational efficiency.

  • Apply advanced SQL skills to refine data transformations across vast datasets.

  • Integrate AI & ML technologies into high-performance data solutions, staying informed on emerging trends.

  • Utilize SAP HANA Spark to drive innovation in data engineering processes.

  • Mentor junior engineers, fostering a culture of continuous improvement and technical excellence.

  • Collaborate effectively with global stakeholders to achieve successful project outcomes.

Qualifications:

  • Extensive experience in data engineering, distributed data processing, and expertise in SAP HANA or similar databases.

  • Proficiency in Python (PySpark) is essential; knowledge of Scala and Java is advantageous.

  • Advanced understanding of Spark optimization and scalable data processing techniques.

  • Proven experience in architecting data transformation pipelines.

  • Knowledge of Kubernetes, GitOps, and modern cloud stacks.

  • Strong understanding of AI & ML technologies and industry trends.

  • Effective communication skills within a global, multi-cultural environment.

  • Proven track record of leadership in data processing and platform initiatives.

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 and more equitable world.
SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide 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.

EOE AA M/F/Vet/Disability:

Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.
Successful candidates might be required to undergo a background verification with an external vendor.

Requisition ID: 426931 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid.

Company benefits

25 (UK) 30 (Germany) 21 (India) days annual leave + bank holidays
Accrued annual leave – 1 day/year up to 30 days (UK)
Open to job sharing
Sabbaticals
Adoption leave – Up to 52 weeks (UK)
Open to part time work for some roles
Returnship
Equity packages
Shared parental leave
Enhanced maternity leave
Fertility benefits
Pregnancy support
On-site childcare
Share options
Electric Car Salary Sacrifice
Gym membership
Dental coverage
Health insurance
Private GP service
Mental health platform access
Life assurance
Life insurance
Enhanced pension match/contribution
Enhanced paternity leave
Travel insurance
Cycle to work scheme
On-site gym
Bike parking
Enhanced sick pay
Emergency leave
Enhanced sick days
Company car
Open to part-time employees
Work from anywhere scheme
Childcare credits
Fertility treatment leave
Pregnancy loss leave
Carer’s leave
Nursery salary sacrifice scheme
Family health insurance
Women’s health leave
Annual bonus
401K
Referral bonus
Joining bonus
Employee discounts
Loyalty programme
Non-contributory pension
Personal development days
Personal development budgets
L&D budget
Language lessons
LinkedIn learning license
Study support
Studying sabbaticals
Lunch and learns
In house training
Hackathons
Professional subscriptions
Further education support

Working at SAP

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107,000

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65:35

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