Data Engineer

 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.

ABOUT HCM ANALYTICS TEAM:

The SAP SuccessFactors HCM Analytics team is responsible for delivering powerful, data-driven insights to help organizations optimize their HR processes. This team focuses on developing and enhancing advanced analytics tools within the SuccessFactors suite, enabling businesses to leverage workforce data for better decision-making. By providing actionable insights into talent management, employee performance, workforce trends, and organizational health, the HCM Analytics team plays a key role in driving HR transformation and improving operational efficiency. Their work supports HR leaders in aligning people strategies with business objectives, fostering a data-centric culture within the organization.

RESPONSIBILITIES:

• Design and Build Scalable ETL Pipelines: Architect, build, and optimize large-scale ETL/ELT data pipelines, focusing on performance, scalability, and data integrity. Ensure the pipelines integrate smoothly within the larger data ecosystem.
• Microservices Development and Maintenance: Design and implement microservices for managing data processing tasks. Build reusable and scalable services to handle various data processing needs and ensure maintainability.
• Implement DevOps Practices: Utilize DevOps tools and practices (CI/CD) for automating testing, building, and deployment of data pipelines and microservices. Ensure that data workflows, models, and infrastructure are robust and can scale in a cloud-native environment.
• Data Integration and Transformation: Collaborate with cross-functional teams to design seamless data integrations between the Transaction system and Data Platform. Focus on data transformation, cleansing, and deduplication while ensuring the pipelines are efficient and maintainable.
• Optimize Data Processing: Tune ETL pipeline performance, focusing on real-time data processing and optimizing for low-latency data delivery. Troubleshoot and debug complex pipeline issues in distributed systems.
• Database and Big Data Tools Management: Work extensively with SQL for structured data and leverage big data tools like Hive, HBase, and Parquet for large-scale data storage and querying.
• Performance Optimization & Data Quality: Drive data quality initiatives including data deduplication, data transformation, and performance optimizations across data pipelines and services.
• Collaboration and Mentorship: Partner with Data Scientists, Analysts, and Engineers to ensure seamless data integration. Provide technical leadership, mentorship, and guidance to junior engineers, fostering best practices in both data engineering and DevOps.

SKILLS & COMPETIENCES:

• Strong expertise in Python, Java, or Scala for building scalable data pipelines and microservices.
• Proven experience working with Apache Spark, Kafka, and Airflow for building data workflows and processing large datasets.
• Strong knowledge of SQL for querying structured data and interacting with databases.
• Hands-on experience with microservices architecture for building, deploying, and managing data services.
• Experience working in a DevOps environment using tools like Jenkins, Git, Docker, and Kubernetes to support continuous integration and delivery.
• Expertise in big data tools such as Hive, HBase, Parquet, and other storage solutions for managing large volumes of data.
• Hands-on experience with data transformation, deduplication, performance optimization, and distributed systems.
• Familiarity with Machine Learning workflow integration and automating ML data pipelines.
• Ability to architect and scale microservices for high-volume data workloads.
• Strong problem-solving skills with a focus on troubleshooting and debugging in a distributed data environment.
• Experience in mentoring and providing technical leadership to junior engineers in data engineering and DevOps practices

WORK EXPERIENCE & EDUCATION  :

• Requires 5+ years of professional experience is essential for understanding system architecture, programming, and technical troubleshooting.
• Outstanding written and verbal communication skills.
• Bachelors/master’s in computer science required.

​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: 419966  | Work Area: Software-Design and Development  | Expected Travel: 0 - 10%  | Career Status: Professional  | Employment Type: Regular Full Time   | Additional Locations: #LI-Hybrid.