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Job Description
Structured overview of role & requirementsAbout This Role
Design, implement, and own complex end-to-end data pipelines handling large SAP datasets with scalability and performance considerations.
Ensure production stability by managing incidents and delivering permanent fixes for data pipelines.
Collaborate with analysts and data scientists to translate requirements into technical solutions, enforce data engineering standards, and optimize pipeline efficiency.
Minimum Requirements
Bachelor's degree in Computer Science, Software Engineering, or equivalent professional experience.
6+ years of experience building and delivering enterprise-scale data solutions.
Proven experience with Google BigQuery and Databricks (PySpark/Delta Lake).
Work Experience Required: 6+ years in data engineering; familiarity with SAP data structures (S/4HANA) and replication tools like SAP SLT highly preferred.
Ideal Candidate Profile
Experienced in independently delivering complex data projects with strong SQL, Python, and Spark skills within modern Lakehouse architectures.
Demonstrated ability to mentor junior engineers and ensure adherence to technical standards in a DevSecOps environment including Git, CI/CD, and TDD.
Capable of managing global and diverse technical landscapes with strong stakeholder collaboration to convert rough requirements into clear, testable specifications.