Translate business requirements into technical specifications.
Participate in all design reviews and requirement sessions, as required.
Understand database design, programming concepts, data modeling, and framework management.
Communicate ideas to both technical and non-technical people in all levels of the organization.
Create or update technical documentation for transition to support teams, including data flows and transformations.
Design, develop, and test data pipeline solutions and automate data loading processes.
Develop and implement an efficient migration process to move data pipeline objects from development to test and production environments.
Analyze data requirements, complex source data, and application data models, and determine the best methods for integrating data to support internal and external analytical needs.
Design and implement data models to support reporting, dashboarding, and integration needs.
Develop automated data audit, testing, and validation processes.
Stay up to date on ever evolving technologies and processes for managing data pipelines
What you'll bring:
3-5 years of data and/or software engineering experience.
Expert SQL skills and database ETL/ELT
Development experience with Java, Ruby, Python
November 19, 2020