About the Role

We are looking for an experienced Data Engineer with strong SAP Integration / SAP Data Extraction experience to join our team and build scalable enterprise data solutions.

The ideal candidate will have strong hands-on experience with Python, SQL, PySpark, Databricks, cloud platforms, and SAP data integration, with proven experience integrating SAP data into Databricks, Data Lakes, Data Warehouses, or other cloud-based data platforms.

Key Responsibilities

- Design, develop, and maintain scalable data pipelines using Python, SQL, PySpark, and Databricks.
- Extract and integrate data from SAP systems into enterprise data platforms and cloud data lakes.
- Develop robust ETL/ELT pipelines for SAP data extraction, transformation, and processing.
- Work with SAP systems such as SAP S/4HANA, SAP ECC, SAP BW/BW4HANA, or similar platforms.
- Build data provisioning pipelines supporting Finance, reporting, analytics, and external reporting requirements.
- Optimize data pipelines, Spark jobs, SQL queries, and overall data-processing performance.
- Monitor, troubleshoot, and resolve data-quality and pipeline operational issues.
- Develop scalable solutions for structured and unstructured data.
- Collaborate with SAP teams, Data Analysts, Data Scientists, business stakeholders, and engineering teams.
- Contribute to data architecture and future-state solutions for SAP-integrated data platforms.
- Implement and maintain CI/CD pipelines and DevOps practices for data engineering solutions.
- Ensure data pipelines meet standards for reliability, scalability, availability, and data quality.

Required Skills

- 8+ years of experience in Data Engineering / Software Engineering.
- Strong hands-on experience with: Python, SQL, PySpark / Apache Spark, Databricks




- 3+ years of experience working with big-data processing and cloud technologies.
- Strong experience writing and optimizing SQL queries against large and complex datasets.
- Hands-on experience with PySpark DataFrames, Spark SQL, and Spark Streaming.
- Proven production experience developing and maintaining data pipelines.
- Strong hands-on SAP Integration / SAP Data Extraction experience — mandatory.
- Experience integrating SAP data with Databricks, Data Lake, Data Warehouse, or cloud-based data platforms — mandatory.
- Experience with at least one major cloud platform: AWS, Azure, or GCP.
- Experience working in DevOps and CI/CD environments.
- Experience monitoring and troubleshooting production data pipelines.

SAP Experience

Candidates should have practical experience working with SAP data and one or more of the following:

- SAP S/4HANA
- SAP ECC
- SAP BW / BW4HANA
- SAP SLT
- SAP Datasphere
- SAP Data Services
- SAP OData
- SAP APIs / Connectors

Important: Candidates whose experience is limited to general Data Engineering without hands-on SAP integration or SAP data extraction experience will not be considered.

Ideal Candidate

We are looking for someone who can independently work across the SAP → Data Extraction → Data Pipeline → Databricks/Data Lake → Analytics/Reporting lifecycle and has experience delivering these solutions in a production enterprise environment.

Pay: From ₹960,000.00 per year

Advantages:

- Internet reimbursement
- Work from home

Application Question(s):

- How many years of hands-on experience do you have with SAP data integration/extraction?
- Have you personally built/integrated SAP data pipelines into Databricks, Data Lake, Data Warehouse,
- How many years of hands-on experience do you have with Python, SQL, PySpark, and Databricks?

Work Location: Remote

📌 Data Engineer – SAP Integration (India)
🏢 Arccus
📍 India