Big Data Engineer Big Data Engineer …

Analytic Recruiting Inc.
in Oshkosh, WI, United States
Permanent, Full time
Last application, 09 Feb 20
COMPETITIVE
Analytic Recruiting Inc.
in Oshkosh, WI, United States
Permanent, Full time
Last application, 09 Feb 20
COMPETITIVE
Posted by:
Posted by:
Recruiter
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.).

 

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