Senior Engineer - Business Data Cloud - Data Product Runtime Team
São Leopoldo, BR, 93022-718
SAP
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Become a key contributor as a Senior Engineer, driving innovative projects that optimize data product runtime architecture within SAP Business Data Cloud. Utilize your advanced skills to support impactful performance and scalability solutions
Responsibilities:
- Independently analyze and refine Spark workloads, applying advanced performance tuning techniques.
- Develop and implement comprehensive monitoring strategies for detecting and diagnosing performance bottlenecks.
- Lead projects to build frameworks that facilitate scalable and elastic Business Data Cloud workloads
- Document advanced optimization strategies and lead training sessions to enhance team capabilities.
- Initiate AI-driven automation projects to improve workload efficiency and scalability.
Qualifications:
- Advanced understanding of distributed computing concepts and their optimization in big data processing.
- In-depth knowledge of Apache Spark architecture and execution model.
- Proven expertise in performance profiling and advanced tuning of Spark applications.
- Proficiency in writing complex SQL queries and optimizing DataFrame operations.
- Strong problem-solving skills for debugging runtime and performance issues.
- Experience with monitoring and analytics tools such as Grafana and Prometheus.
- Developing leadership abilities and communication skills for technical mentorship.
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: 430182 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Big Data Grafana Spark SQL
Perks/benefits: Career development Flex hours
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