Create and develop organized databases for use in data science
projects and initiatives.
Design, build and launch data pipelines to move and transform
Design data models for optimal storage and retrieval.
Deploy inclusive data quality checks to ensure high quality
Optimize existing pipelines and maintain all domain-related data
Ownership of the end-to-end data engineering component of the
Collaborate with the Data Center SMEs, Data Scientists, and
Design and develop new systems in partnership with software
engineers to enable quick and easy consumption of data.
Supervise two (2) employees (Data Engineers).
Master's degree in Computer Science, Information Systems,
Computer Engineering, Electrical Engineering, or related field of
study plus 7 years of experience as a Principal Machine Learning
Engineer. Sr. Technology Analyst, or related experience. Employer
also accepts a Bachelor's degree plus 9 years of experience as an
Must have experience or knowledge of:
SQL (Oracle, SQL Server, or Hive);
Relational databases (Oracle or MySQL or MS SQL);
Custom or structured (Informatica or SSIS);
ETL design, implementation and maintenance;
Applying DWH/ETL best practices;
Python development- PySpark;
Big Data stack environments (Hadoop or Hive); and
Working with enterprise Data Engineering tools (Spark and
Willing to travel up to 25% domestic and international.