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Schneider Internship - Data Engineer (Start Spring 2021) at Schneider Electric USA, Inc

Posted in General Business 30+ days ago.

Type: Full-Time
Location: Franklin, Tennessee





Job Description:

What do you get to do in this position?

The Data Services Data Engineer Intern will develop, maintain and improve of data delivery through the North America (NAM) Data Warehouse platforms. The right person in this role will support overall improvements in data architecture, metric definition and processes to support business data and analytical initiatives. Our Data Engineers provide support to team members in the Data Services team and our business partners.

This will be your next career opportunity if you like to:


  • Collaborate with team members to conceptualize, design and deliver enterprise and departmental data solutions to support business intelligence, data warehousing and reporting and machine learning requirements.
  • Implement solutions that are reliable and scalable to meet the service levels associated with mission-critical solutions.
  • Participate in and enhance our DevOps practice to insure highly available solutions and quick issue resolution.
  • Translate business requirements into data pipelines and data stores to support of business requirements.
  • Work with Data and Solution Architects to define and implement migration strategies from legacy systems to cloud architecture and technologies.
  • Provide team feedback to optimize delivery of our solutions.


    The right candidate will have the following capabilities and experience:

    • Bachelor's Degree in IT/Computer Systems

    • 2 years relevant experience in Data Engineering or equivalent education/academic experience preferred.
    • Prior experience with primary AWS services such as EC2, EMR, S3, IAM policies, Cloudwatch, Cloud Formation, SES
    • Experience with data handling and database technologies (Lambda, DMS, Kafka, Spark, Redshift, Hadoop, Airflow, etc.).
    • Experience with modern programming languages such as Python, Scala or Java.
    • Experience designing and building systems to process large volumes of heterogeneous data, real time and batch to deliver data solutions.
    • Command of advanced SQL queries and programming.
    • Adopt best practices in data architecture, design and implementation.
    • Have an eye for operational transparency and resiliency at every layer of the application.
    • Proven analytical and problem-solving abilities. Ability to assimilate information and quickly discern the most relevant facts and recommend creative, practical design solution. Ability to think outside-the-box a real asset.
    • Familiarity with DEVOPs tools and processes and CI/CD are an asset.
    • Excellent communication, presentation, influencing, and reasoning capabilities.
    • Desire to take the initiative moving projects/ideas forward with clarity
    • Knowledge of legacy data warehousing tools and technology is an asset Examples: Dimensional Models, Informatica PowerCenter, Informatica Cloud, MS Integration Services, Alteryx, Oracle, MS SQL Server etc.





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