Minimum Experience, Behaviors and Education Requirements
- Bachelors or masters degree in computer science, Engineering, or a related field.
- 5+ years of hands-on experience as a Data Engineer, preferably in a global organization.
- Proficiency in Spark, Python, Azure Databricks, SQL, and Scala.
- Experience working with cloud platforms such as Azure or GCP, leveraging their data services.
- Strong understanding of data modeling, ETL processes, and data warehousing concepts.
- Ability to work effectively in a global, multicultural team environment, across different time zones.
- Proven track record of delivering on multiple projects with a focus on scalability, reliability, and performance.
- Excellent problem-solving skills and a proactive approach to tackling complex data challenges.
- Knowledge of life insurance industry preferred.
