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Remote hiring plus broad platform and data skillset increase applicant pool despite seniority.
Requires deep data platform and cloud infrastructure experience, limiting cross-industry portability.
Explicit 9+ years and many mandatory platform, data, and infrastructure technologies.
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Develop and operate scalable core infrastructure for the SIXT Data Platform including Kubernetes, AWS services, and Terraform modules.
Implement and integrate latest AWS and big data technologies for the SIXT Data Shop to support ETL workflows, real-time ML endpoints, and customer use cases.
Collaborate with Data Engineers, BI Analysts, and Data Scientists to architect solutions for analytics, dashboards, data products, and machine learning use cases.
Minimum 9+ years of experience as a Data Engineer at senior or staff level.
Bachelor's or Master's degree in Computer Science or similar discipline (B.Tech, B.E., or equivalent).
Hands-on experience with Kubernetes, AWS services, Terraform modules, Redshift or Snowflake, dbt, and Apache Airflow.
Expertise in Python and advanced SQL, with strong knowledge of agile engineering practices, CI/CD (Jenkins), GitHub, and distributed systems fundamentals.
Experienced at designing and operating hybrid Data Lake and Data Warehouse architectures with end-to-end ELT automation.
Capable of driving technical direction and engineering standards for a global, large-scale data platform.
Proficient with advanced AI tooling and automation techniques, including leveraging LLMs and RAG systems in data workflows.