Data Engineer
Tenere is currently in the process of building a data warehouse and rolling out a new business intelligence infrastructure. We are looking for a subject matter expert in the field to help guide Tenere through this process.
The Data Engineer develops, maintains, and tests infrastructures for data generation to transform data into a format that can be easily analyzed to drive key business decisions. Partners with data scientists/analysts and cross-functional teams to discover, collect, cleanse, and refine the data needed for analysis and modeling.
Major Job Functions:
- Develops, constructs, tests and maintains data pipeline architectures and tools
- Aligns architecture with key business requirements
- Extensive Azure SQL knowledge including the ability to write high-level, complex queries
- Identifies ways to improve data reliability, efficiency and quality
- Familiarity with one of the following: Scala, Apache Hadoop, Spark
- Conducts research for industry and business questions
- Prepares data for predictive and prescriptive modeling
- Use data to discover tasks that can be automated
- Manages all ETL functions (Extract, Transform, Load) Familiarity with ETL processes from Linux based systems a plus
- Understands and implements best practices in the management of enterprise data
- Utilizes data visualization tools such as Power BI & Tableau
Education/Experience: Bachelor's degree from four-year college or university in computer science, information technology, statistics, applied math, or another quantitative field. Five plus related experience and/or training; or equivalent combination of education and experience. Must possess good organizational and strong project management skills