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About the role
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. Skills: Spark, Azure Databricks, Sql, Python Experience: 5.00-9.00 Years 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. Skills: Spark, Azure Databricks, Sql, Python Experience: 5.00-9.00 Years