Engineering Expert
3 semanas atrás
Join our team as an Engineering Expert to lead innovative projects focused on optimizing data product runtime architecture within SAP Business Data Cloud. Your expertise will drive strategic decision-making and technological advancements.
Responsibilities- Analyze and refine Spark workloads to enhance performance and resource efficiency, including tuning parameters, re-engineering data processing pipelines, and ensuring optimal execution strategies.
- Implement monitoring solutions to detect and diagnose performance bottlenecks or failures in Spark applications. Resolve complex runtime issues related to resource allocation, execution errors, or data inconsistencies.
- Collaborate across teams to design and build a framework that allows Business Data Cloud workloads to scale seamlessly across distributed data environments.
- Create documentation on Spark optimization best practices and conduct training sessions to enhance team expertise.
- Lead AI-automation initiatives to improve workload scalability and efficiency.
- Mentor engineering teams and lead cross-functional global collaborations.
- Deep understanding of distributed computing principles, including concurrency, fault tolerance, and network latency.
- Comprehensive knowledge of Apache Spark architecture and execution models.
- Expertise in performance profiling and tuning Spark applications.
- Proficiency in writing efficient SQL queries and transformations using SparkSQL and DataFrames.
- Strong debugging skills for runtime issues and environment configurations.
- Experience with monitoring tools such as Spark's web UI, Ganglia, Grafana, or Prometheus.
- Understanding of AI and ML trends and their applications in distributed data processing.
- Excellent leadership, mentorship, and communication skills.
At SAP, we help the world run better. We foster a collaborative and inclusive culture focused on innovation, learning, and development. Join us to bring out your best and be part of a purpose-driven, future-focused organization.
Inclusion and Equal OpportunityWe value diversity and are committed to creating an inclusive environment. SAP is an equal opportunity employer and provides accommodations for applicants with disabilities. For assistance, contact
Requisition ID: | Employment Type: Full-time | Location: Various | Travel: 0-10%
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