Senior Data Analytics Engineer

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.