Associate Data Scientist

**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.

**What you'll do**:
The Data Engineer will collaborate closely with cross-functional teams including data scientists, analysts, and software engineers to implement efficient data solutions that drive business value.
- Design, develop, and maintain robust, scalable data pipelines to support various data processing needs.
- Implement data ingestion processes from multiple sources including databases, APIs, and streaming platforms.
- Optimize and tune data pipelines for performance, reliability, and scalability.
- Collaborate with data scientists and analysts to understand data requirements and implement solutions that meet their analytical needs.
- Implement and enforce data governance policies to ensure data quality, consistency, and security.
- Troubleshoot and resolve data-related issues in a timely manner.
- Stay up-to-date with emerging technologies and trends in data engineering and contribute to continuous improvement initiatives.

**What you bring**:

- Bachelor's degree in Data Science or a related field. Master's degree preferred.
- 2-4 years of experience in data engineering roles, preferably in a fast-paced environment.
- Experience with ETL (Extract, Transform, Load) tools such as Informatica, Talend, or Apache NiFi.
- Hands-on experience with relational and NoSQL databases.
- Knowledge of SAP Data Intelligence/DataSphere, Analytics cloud, HANA ETL is preferred
- Experience with data processing frameworks and technologies such as Apache Spark, Hadoop, or Flink.
- Proficiency in programming languages such as Python, Java, or Scala.
- Exposure to cloud platforms such as AWS, Azure, or Google Cloud Platform.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills.
- Familiarity with machine learning concepts and frameworks.

**Meet your team**:
SAP Customer Innovation Services Engineering (Previously known as Innovative Business Solutions (IBSO)) is a global organization dedicated to delivering innovative solutions to meet our customers’ unique business process needs. We deliver a full lifecycle of customer specific development services - from strategic planning, risk assessment, development, and quality assurance to maintenance. With development centers in the United States, Brazil, Germany, Ireland, and India, we leverage a global delivery model.
Our vision is to become the premier strategic RISE with SAP enabler, driving accelerated innovation and technology adoption leveraging the SAP Business Technology Platform, focusing on a clean core approach.

**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.

**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.

Requisition ID: 398089 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Graduate | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid.