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Full-Time Opportunity: This is a permanent, full-time position with a competitive package and real career growth potential.
Job Description
- +4 years of industry experience as a Data Engineer
- Experience developing large scale batch & streaming ETLs in spark, preferably in Databricks
- Expertise developing in Python. Scala knowledge is a plus
- Good command of Apache Airflow for workflow orchestration
- Experience working in cloud environments, preferably GCP
- Strong hands-on experience with modern, open-source table formats such as Apache Iceberg or Delta Lake to manage large-scale data lakehouse architectures
- Proven track record managing data access controls, CLS, RLS and cataloging workflows. Experience with Unity Catalog is a plus
- Hands-on experience working with containerized applications, preferably orchestrated in Kubernetes
- Experience working with Google Pub/Sub is preferred
- Knowledge of the software development cycle and its best practices (e.g. CI/CD, DevOps, testing)
- Analytical skills, an eye for data quali...