Pull data from first- and third-party data sources stitch and wrangle it for advanced analytics activities.
Leverage data standard processes and tools by collaborating with analytics translator data scientist and cloud engineer.
Research first and third-party data sources to enable access and ensure the availability of relevant data sources for those who need them.
Provide input to cloud engineers for the design and implementation of data management and/or architecture solutions.
Partner with cloud engineer and ML engineer to develop and evolve the concept of data ops.
Design implement and deploy data loaders to load data into the Engineering Sandbox.
Assist in pulling filtering tagging joining parsing and normalizing data sets for use.
Work with the analytics translator data quality analyst and IT to resolve data quality issues.
Experience in designing and implementing large-scale data loading manipulation processing analysis and exploration solutions.
Deep technical expertise with pulling and massaging data and understanding of first/third party data.
Experience in R Python Modeling Big Data etc. with a focus on AI/ML techniques Advanced SQL skills and understanding of data management principles and processes.
