Big Data Engineer - Remote

Multi- Billion dollar American industrial company seeks a hands Data Engineer to work either remotely or in their Wisconsin office. (Hadoop experience is a must)

US Citizenship or Green Card only

ESSENTIAL DUTIES AND RESPONSIBILITIES

• Design and develop scalable ETL solutions to deliver data from source systems to analytics platforms (structured and unstructured; batch and streaming).
• Responsible for testing and validation in order to support the accuracy of data transformations and data verification used with enterprise-wide analytics.
• Assist in educating others on best practices surrounding data work (i.e. data modeling, database design, ETL design, job scheduling and monitoring, etc.).
  
• Assist or direct feasibility studies and project estimates (man power, budget development, and timelines, etc.) on proposed research and development projects.

EXPECTATIONS

• Essential computer science/computer engineering/software engineering education background and in-depth work-related experiences in data engineering field
• Strong time management, communication and critical thinking skills
• Strong presentation skills and able to confidently interface internal or external customers.
• Strongly motivated in learning new technologies and skills in data engineering fields
  

EDUCATION AND EXPERIENCE

• Bachelor's (minimum) degree in Computer Science or STEM-related field.
• Three (or more) years of experience working as a data engineer, ETL developer and/or data warehouse DBA.
• Display excellent interpersonal skills as well as the ability to effectively present information and respond to questions from leadership and peers.
  
• Strong proficiency with SQL, Bash, and Python (and experience with the Anaconda distribution).
• Experience with big data tools and architectures, such as Cloudera Hadoop, HDFS, Hive, and Spark.
• Working knowledge of telematics interfaces and streaming solutions (MQTT, NiFi, Kafka, etc.).

Salary: $110,000 - $120,000

Location: Wisconsin or Remote