Description:

This Data Engineer (Cloud Analytics) will support data sourcing strategies, designs, and implementation for Navy Federal Enterprise Cloud Data Lake by designing, building, and integrating data from various sources in support of predictive and adaptive analytics.

Required (Individual Role):

Bachelor’s degree in Information Systems, Computer Science, Engineering, or related fieldHands-on experience creating automated data pipelines using modern technology stacks for batch ETL, data streaming, or change data capture, and for data processing to load advanced analytics data repositoriesProficient in designing and implementing data integration processes in a large, distributed environment using cloud services e.g., Azure Event Hub, Data Factory, Data Catalog, Databricks, Stream Analytics, Apache SparkExperience in designing data lake storage structures, data acquisition, transformation, and distribution processingProficient in developing and operationalizing various data distribution patterns such as APIs, event based, publish/subscribe modelsExperience migrating data lakes from on-premises to cloudExperience using the Apache Hadoop technology stackAdvanced experience in SQL programmingProficient in programming languages (e.g., Python, Java)Experience with agile delivery using Jira, or Azure DevOpsExperience monitoring the performance of data workflows and infrastructure through the use of monitoring tools and enabling alertsFunctional knowledge of data visualization toolsExcellent written and oral communication skills.