Data Engineer 419966
Data Engineer 419966
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Job Description
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 purposedriven and futurefocused 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 choosefrom.
ABOUT HCM ANALYTICS TEAM:
The SAP SuccessFactors HCM Analytics team is responsible for delivering powerful datadriven 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 decisionmaking. 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 datacentric culture within the organization.
RESPONSIBILITIES:
- Design and Build Scalable ETL Pipelines: Architect build and optimize largescale 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 cloudnative environment.
- Data Integration and Transformation: Collaborate with crossfunctional 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 realtime data processing and optimizing for lowlatency 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 largescale 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.
- Handson 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.
- Handson 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 highvolume data workloads.
- Strong problemsolving 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/masters 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 endtoend 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 purposedriven and futurefocused 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 SAPyou can bring out your best.
We win with inclusion
SAPs culture of inclusion focus on health and wellbeing 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 email with your request to Recruiting Operations Team:
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: SoftwareDesign and Development Expected Travel: 0 10 Career Status: Professional Employment Type: Regular Full Time Additional Locations: #LIHybrid.
Employment Type
Full-Time
