Senior Data Engineer (Cloud Lakehouse)

Initiate and experiment with new ideas and approaches that support the A&I department's strategy

Proactively support and maintain data products, including handling release management, troubleshooting incidents, and providing on-call support as necessary

5+ years of experience in data engineering, with demonstrated expertise in designing and implementing scalable, flexible modern data architectures

Experience building modern data lake/lakehouse architectures (e.g., Apache Iceberg) in cloud environments

Strong knowledge of AWS (S3, Redshift) or Azure data services

Experience with ETL/ELT processes and data ingestion

Proven expertise using transformation tools such as dbt

Experience with data pipeline orchestration tools (such as Apache Airflow)

Experience with best practices applied to data (e.g., testing, CI/CD)

Experience developing dashboards and reporting solutions using data visualization tools such as Power BI or Amazon QuickSight

Experience with generative AI applications in data analytics

Nice to have some JAVA experience

We believe talent knows no boundaries. Our hiring process focuses solely on your skills, experience, and potential to contribute to our team. We welcome applicants from all backgrounds and evaluate each candidate based on merit, regardless of personal characteristics as the age, gender, origin, religion, sexual orientation, neurodiversity or disability.