Create and maintain optimal data pipeline architecture
Assemble large, complex data sets that meet functional / non-functional business requirements.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
Create data tools for team members to assist them in building and optimizing analytics production.
Work with data and analytics experts to strive for greater functionality in our data systems.
Other duties as required.

Bachelor’s degree (B.S/B.A) from four-college or university and 5 to 8 years’ related experience and/or training; or equivalent combination of education and experience
Networks with senior internal and external personnel in own area of expertise
Demonstrates good judgment in selecting methods and techniques for obtaining solutions
Proficiency in languages SAS, Python, Java, and MatLab
ETL (Extract, Transform, and Load)
Database
SQL and NoSQL
Data Warehousing – Hadoop, MapReduce, HIVE, Presto
Operating system: UNIX, Linux
Follows standard practice and procedures when analyzing situations or data
Programming language: Javascript, R
Basic Machine Learning

Data Engineer III

Key skills