Data Scientist Analyst

Overview

Employer: Epitec, Inc.

Position: Data Scientist Analyst (Job Code: 1375)

• Responsible for performing data based solutions using ETL pipelines for customers in an Agile environment.
• Work with customers to gather requirements and choose optimal solutions to create data products, and maintain, implement, and monitor them.
• Collect, store, transform, process, and analyze huge sets of data and integrate data sets with the architecture used across the company.
• Work on optimization techniques on SQL and Python codes for faster and efficient ETL solutions.
• Develop ETL pipelines using Hadoop/GCP.
• Utilize Hive, PySpark, JSON, shell scripting, Terraform, Jenkins, and GIT to perform duties.
• Implement ETL processes such as data transformation; ensure data quality and maintain profiles of data products.
• Monitor performance and advise on any necessary infrastructure changes; comply with data governance and privacy policies; define data retention policies.
• Handle issues in the ETL pipelines by finding the root cause and fixing them.
• Use Git for version control and Jira for project tracking; perform migration activities, including ETL pipelines from Hadoop to GCP.

Location: Southfield, MI and various unanticipated locations throughout the US.

Salary: $124,800 per year.

• Education: Bachelor’s Degree in Computer Engineering, Computer Science, Electrical Engineering, Electronic Engineering, or in a related field of study (will accept equivalent foreign degree).
• Experience: One (1) year in the position above, as a Data Engineer, as a Data Scientist, as a Software Engineer Intern, or in a related occupation.
• Other Requirements: Experience must include one (1) year’s use of all the following:
  Hive, PySpark, JSON, shell scripting, Terraform, Jenkins, and GIT.
• Will also accept any suitable combination of education, training, and/or experience.

Attn:
Savanna Krim
Human Resources Team Lead
Epitec, Inc.
26555 Evergreen Road, Suite 1700
Southfield, MI 48076

All applicant resumes must reference above job code and be submitted via: 1st Class U.S. Mail to:
Savanna Krim, Human Resources Team Lead