Description

You will design and build data platforms to enable enterprise analytics.

Responsibilities

• Design and deliver analytics-ready datasets optimized for Power BI performance and scalability.
• Implement Lakehouse architectures serving as the single source of truth for analytics, managing structured and semi-structured data.
• Injest and transform data from SAP HANA, SAP S/4HANA, SAP BW, and related SAP systems.
• Develop scalable Python-based ETL/ELT pipelines, implementing transformations and validations.
• Design and manage S3-compatible object storage, optimizing layouts and implementing cost management strategies.

Required Skills

• 15+ years of professional experience in data engineering.
• Strong proficiency in Python for data engineering tasks.
• Hands-on experience with Lakehouse technologies (Delta Lake, Apache Iceberg, Apache Hudi).
• Strong experience with Power BI data modeling and performance optimization (DirectQuery, Import, hybrid).
• Advanced SQL skills across analytical workloads.
• Experience integrating data from SAP HANA, SAP S/4HANA, and SAP BW.
• Experience working with S3-compatible object storage (AWS S3, MinIO, Ceph).
• Deep understanding of Power BI semantic modeling best practices and enterprise deployments.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

Key Skills

Education

Bachelor's or Master's degrees