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Data Engineer [3+yrs Work Exp w/Degree]

Antra Inc.
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This role requires the design, development and implementation of data solutions to business problems. An Data Engineer will be expected to perform duties such as: evaluating the performance of current data solutions, designing and implementing cloud and hybrid data solutions. Ability to adapt and learn new technologies per business requirements is also needed.

Responsibilities:

  • Design and implement data solutions using industry best practices.
  • Performs ETL, ELT operations and administration of data and systems securely and in accordance with enterprise data governance standards.
  • Monitor and maintain data pipelines proactively to ensure high service availability.  
  • Works with Data Scientists and ML Engineers to understand mathematical models and optimize data solutions accordingly.
  • Continuous development through training and mentor-ship programs.  
  • Create scripts and programs to automate data operations.

 You meet our “must haves” for this role if you have:

  • Minimum Bachelor’s degree in Data Science, Business Intelligence, Computer Science or related fields, or the equivalent combination of education, professional training, and work experience.  
  • 3 years of experience working with one or more languages commonly used for data operations including SQL, Python, Scala and R.  
  • Experience working with relational databases such as SQL Server, Oracle and MySQL.  
  • Experience working with NoSQL databases such as Redis, Mongo DB, Cosmos DB.  
  • Excellent problem-solving skills and ability to learn through scattered resources.  
  • Thorough understanding of the responsibilities and duties of a data engineer, as well as established industry standards/best practices and documentation guidelines.  
  • Outstanding communication skills, and the ability to stay self-motivated and work with little or no supervision.  
  • Authorization(s) to work lawfully in the United States.

Plus, if you meet any the of requirements:

  • Experience with cloud based data technologies.  
  • Experience with distributed systems utilizing tools such as Apache Hadoop, Spark or Kafka.  
  • Working experience in Agile Scrum environments.  
  • Experience with source control tools such as Git, SVN and TFS.