Senior Data Engineer

You will design and build data solutions for enterprise analytics consumption.

Responsibilities

• Design and deliver analytics-ready datasets optimized for Power BI performance and scalability.
• Implement Lakehouse architectures serving as the single source of truth, managing structured and semi-structured data using open table formats.
• Ingest and transform data from SAP HANA, SAP S/4HANA, and SAP BW into a unified analytics platform.
• Develop scalable Python-based ETL/ELT pipelines, implementing data transformations and validation logic.
• Design and manage S3-compatible object storage, optimizing layouts and implementing data lifecycle strategies.

Required Skills

• 15+ years of professional experience in data engineering.
• Strong proficiency in Python for data engineering.
• Hands-on experience with Lakehouse technologies (Delta Lake, Apache Iceberg, Apache Hudi).
• Strong experience with Power BI data modeling and performance optimization (Import vs DirectQuery).
• 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).
• Deep understanding of BI reporting, KPIs, and analytics workflows.
• Bachelor's degree in Computer Science or related field.

Preferred Skills

• Experience with Microsoft Fabric, Azure Data Lake, or Synapse.
• Knowledge of streaming platforms like Kafka or Kinesis.