Job Summary

We are looking for skilled Data Lake Engineers with hands-on experience in data ingestion, pipeline development, transformation, and maintenance of enterprise data lake solutions. The engineers will work on integrating data from SAP S/4HANA into the data lake, developing and enhancing data pipelines, resolving production issues, and ensuring data accuracy and reliability.

Key Responsibilities

- Develop, maintain, and enhance data lake solutions and data pipelines.
- Extract and ingest data from SAP S/4HANA into the data lake environment.
- Build and maintain ETL/ELT pipelines for data extraction, transformation, loading, and processing.
- Work with structured and semi-structured data from SAP and other enterprise systems.
- Perform data cleansing, transformation, validation, and reconciliation.
- Monitor data pipelines and resolve failures, data quality issues, and performance bottlenecks.
- Provide production support, incident resolution, root cause analysis, and ongoing enhancements.
- Optimize SQL queries, data processing jobs, and pipeline performance.
- Collaborate with solution architects,



SAP teams, and business stakeholders to understand data requirements.
- Maintain technical documentation, data mappings, and operational procedures.
- Follow data security, governance, and quality standards.

Required Skills and Qualifications

- 5+ years of experience in data engineering and data lake development.
- Hands-on experience in developing, supporting, and enhancing data lake solutions.
- Experience extracting and integrating data from SAP S/4HANA.
- Robust SQL skills and understanding of relational databases and data modelling.
- Experience with ETL/ELT processes and data integration tools.
- Knowledge of data ingestion, transformation, orchestration, and pipeline monitoring.
- Experience in troubleshooting production issues and performing root cause analysis.
- Understanding of data quality, validation, and reconciliation processes.
- Ability to work collaboratively with technical and functional teams.

Work Location: Remote

📌 Data Lake Engineer (India)
🏢 Quantorus 365
📍 India