SAP Data Engineer

Sun King

IndiaremotePosted 3 days ago

Skill Required

Data-EngineeringSAP-Data-EngineerETL-ELT-DevelopmentCloud-Data-EngineeringBusiness-Intelligence-EngineeringSAP-Analytics-EngineerSAP-Data-DeveloperSAP-EngineerSAP-Data-SpecialistSAP-Data-and-Analytics-DeveloperData-EngineerDeveloperData EngineerSAPdata engineeringData StructuresETLEngineeringanalyticalSAP ABAPdesigninganalyticsRedshiftbuildingAirflowSparkPythondesignCloudDesign PatternsSQLAWSandFulltime

Key highlights

Location: Remote, India
2–4 years of required experience
At least 2 years of SAP integration experience required
Includes professional growth via Sun King Center for Leadership

Role overview

The Data Engineering team is seeking an experienced SAP Data Engineer to join our growing team and play a pivotal role in enabling data-driven decision-making across the organization. The successful candidate will bring deep expertise in SAP landscapes and will be responsible for designing, building, and maintaining robust data pipelines that connect SAP systems with the broader enterprise data ecosystem while also having the opportunity to grow general cloud skills on AWS.

Responsibilities

Design and implement modern ETL/ELT architectures integrating SAP source systems (ECC, S/4HANA, BW/4HANA) with cloud-based data platforms.
Develop and maintain robust data pipelines to extract, transform, and load SAP data into enterprise data warehouses and data lakes for BI and reporting needs.
Build and manage integrations using SAP Data Services, SAP BW Extractors, ODP (Operational Data Provisioning), and RFC/BAPI connections.
Partner with SAP functional consultants and business stakeholders to grasp data structures, business logic, and transformation requirements.
Build data flows into SAP and SAP Analytics Cloud to enhance the data available to our FP&A team
Administer and optimize SAP-connected databases and data stores to ensure high performance, availability, and data integrity.
Partner with the BI team to optimize reporting experience by aligning SAP data preprocessing, schema design, and dimensional data modeling.
Monitor and optimize data storage, processing, and pipeline costs across SAP and cloud environments, proactively recommending cost-effective improvements.
Design and implement real-time and near-real-time data pipeline architectures (e.g., SAP SLT, SAP CDS Views, event-driven pipelines) for critical business workflows.
Develop a robust alerting and data quality framework to detect, escalate, and resolve SAP data discrepancies efficiently.
Document data flows, SAP integration patterns, and pipeline architectures to maintain operational knowledge and assist team scalability.

Requirements

Bachelor's degree in Computer Science, Information Systems, or a related quantitative field; relevant professional experience may be considered in lieu of formal education.
2–4 years of experience in a Data Engineering role, with at least 2 years of hands-on SAP integration experience.
Strong proficiency in SAP data extraction techniques: BW Extractors, ODP, CDS Views, RFCs, BAPIs, and IDocs.
Hands-on experience with SAP Data Services (BODS), SAP BW/4HANA, SAP S/4HANA data models, and SAP Landscape Transformation (SLT).
Solid command of Python and SQL for data transformation; experience with Spark and cloud-based compute (AWS EC2, Glue, or equivalent) is a strong plus.
Practical experience with PySpark Glue jobs, Lambda functions, NoSQL databases, job orchestration using Airflow, and/or managing Redshift or similar cloud data warehouses.
Familiarity with SAP ABAP for reading and interpreting custom extraction programs and table structures (development experience is a plus, not a requirement).
Detail-oriented with a keen interest in understanding how SAP business processes translate to data transformations and their downstream impact on business outcomes.
Excellent analytical, problem-solving, and time management skills with the ability to manage competing priorities in a fast-paced environment.
Adaptable and collaborative team player who thrives in dynamic, cross-functional environments.

Nice to have

Prior experience in project or team lead capacity is preferred; enthusiasm for knowledge-sharing and mentoring junior engineers is a strong plus.
Experience with SAP Integration Suite (formerly SAP Cloud Platform Integration/ CPI) or SAP Data Intelligence.
Exposure to SAP RISE or SAP BTP (Business Technology Platform) data services.
Certification in SAP Data Engineering, Finance, SAP BW, or related SAP modules.
Prior experience in energy, utilities, or emerging-market technology sectors.
Experience with AWS, Redshift, orchestrating Airflow DAGs

Benefits

Professional growth in a dynamic, rapidly expanding, high-social-impact industry
An open-minded, collaborative culture made up of enthusiastic colleagues who are driven by the challenge of innovation towards profound impact on people and the planet.
A truly multicultural experience: you will have the chance to work with and learn from people from different geographies, nationalities, and backgrounds.
Structured, tailored learning and development programs that help you become a better leader, manager, and professional through the Sun King Center for Leadership.