Associate Developer for the SAP HANA Research & Development Team

Ref-Code: DE-60357831-EN-15-001
Work area: Software - Design and Development
Expected travel: 0% - 10%
Career status:
Employment type: Regular Full Time
COMPANY DESCRIPTION
SAP is the global market leader for business software and thus contributes a considerable part of the world's economic power grid. At SAP you get your chance to put your ideas into action with maximum impact.Our team has the mission to design and develop a massively scalable, multi-tenant aware and extremely fast data management engine.

We are at the very beginning of the project phase, still in research mode. Our goal is to expand from a research prototype to a productive version of the engine. In this process we will make use of the Hadoop eco system and explore far-reaching integration possibilities into HDFS, Spark and other components.. We are looking for fresh graduates to bring their budding talents to the SAP HANA Research & Development team.
EXPECTATIONS AND TASKS
As an associate developer in the SAP HANA Research & Development team you will be working with a group of exceptionally talented and motivated colleagues.

You will need to:
- Identify relevant technology trends and drive education in related domains
- Write meticulous software implementations throughout the whole software stack
- Perform code reviews and audits to spot opportunities for improvements with respect to usability, testability, supportability, or potential performance penalties
- Write regression tests for your own code using different programming languages (e.g.

C++, Python, SQL) and testing frameworks (e.g. Google C++ Testing Framework)
- Continually enhance your existing skills and seek new areas for personal development
- Be a strong, committed, reliable team player with a strong service ethic; as well as being a proactive networker, a self-starter and self-motivated Your tasks will include developing new concepts in the following areas:
- Massive scale-out
- Low latency networking
- Time critical protocols
- Multi-tenancy concepts
- Fault tolerance and security
- Cloud computing
- Compression algorithms
- Query execution via Spark
- Block Placement Strategies in HDFS
- Resource Management in Yarn
WORK EXPERIENCE
Entry level
EDUCATION AND QUALIFICATION / SKILLS AND COMPETENCIES
Required

skills:

- Very good Master's or Bachelor's degree in Computer Science or related fields
- A solid foundation in computer science with strong competencies in data structure, algorithms, and software design
- Expert skills in one ore more of the following languages: C++, Java, Scala, Python, R, Lua, Go
- A high level of commitment, team-spirit, flexibility, and initiative

Preferred skills:

- Knowledge of parallel, distributed algorithms
- Knowledge of scripting language (for example in Python, Java script)
- A solid understanding of one ore more of the following areas: Hadoop, Spark, HDFS, Hive, Yarn, Flume, Storm, Kafka, ActiveMQ, Sqoop, MapReduce
- Knowledge in cloud scale distributed systems
- Database knowledge
- Experience with NoSQL Databases and Technologies like Cassandra, MongoDB, Graph Databases
- Knowledge in design patterns and object oriented programming