Role: Data Engineer – SAP Integration
Experience: 8+ Years
Work Mode: Remote
Availability: Immediate / Short Notice Preferred
Required Skills
Python
SQL
PySpark
Databricks
SAP Integration / SAP Data Extraction
CI/CD
DevOps
Cloud – AWS / Azure / GCP
Important Vendor Requirements
Candidate should have robust hands-on experience with SAP integration / SAP data extraction.
Candidate should have hands-on experience integrating SAP data with Databricks, Data Lake, Data Warehouse, or other cloud-based data platforms.
Databricks certification is optional/preferred, but not mandatory.
Job Description
We are looking for a self-motivated and experienced Data Engineer with SAP Integration experience who is passionate about building scalable data solutions. The candidate will be responsible for taking data through its complete lifecycle, including data extraction, integration, processing, pipeline development, data infrastructure, and creation of reliable data products.
The ideal candidate should have strong hands-on experience with Python, SQL, PySpark,
Databricks, and SAP data integration, along with experience working in cloud and DevOps/CI/CD environments.
Core Responsibilities
Design, develop, and maintain robust data pipelines using SQL, Python, PySpark, and Databricks.
Integrate and ingest data from SAP systems into enterprise data platforms and data lakes.
Develop data extraction and transformation processes for SAP data.
Work with SAP data sources such as SAP S/4HANA, SAP ECC, SAP BW/BW4HANA, or other relevant SAP systems.
Understand business requirements and design data provisioning pipelines for Finance, reporting, analytics, and external reporting domains.
Monitor and optimize data pipeline and query performance.
Troubleshoot operational and data-quality issues across pipelines and SAP integrations.
Build scalable ETL/ELT processes for structured and unstructured data.
Work closely with Data Analysts, Data Scientists, SAP teams, business
📌 SAP DATA Analyst (India)
🏢 Arccus
📍 India