The Manager Applications Development directs multiple teams of developers involved in the analysis, design, development and implementation of large-scale Data Warehousing and Big Data Analytics software applications.
Build and maintain data infrastructure and pipelines to support data and analytics, including quality, governance, lifecycle management, and compliance. Partner with data scientists to build an infrastructure/pipeline to collect and analyze data.
The Senior Big Data Engineer must lead technical design for data analytics projects. Other architecture and development tasks will include prototyping new services and workloads within the Microsoft Azure cloud computing environment.
The Associate Senior Big Data Engineer must have SQL, Java, Python, and/or C# programming and experience in big data technologies (Hadoop, HDFS, Hbase, Map/Reduce, Java, Scala, Apache Kafka, and Apache Spark is preferred.)
The Data Scientist will work on challenging internal business, productivity, and enablement use cases with the primary objective to derive predictive insights that lead to achieving business value for associates and our clients.