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A prominent company in Dallas seeks a Data Engineer to design and maintain analytical data models using modern technologies like AWS and Apache Spark. The ideal candidate will have a Bachelor's degree and 5 years of experience in big data systems, contributing to multi-disciplinary projects and driving analytical solutions. Telecommuting is permitted, allowing flexibility in work.
Design, develop, and maintain analytical data models and metrics using highly scalable and modern technology that make up the analytical platform. Participate in multi-disciplinary projects with our applications and analytics teams. Work with business to understand requirements and build out analytical solutions while working with the architecture and operations teams to maintain best practices and standards. Contribute to our team’s growing set of development platforms, tools, and processes.
Bachelor’s Degree in Computer Science, Computer Systems Engineering, Electronic Engineering, Information Technology, or related field, and 5 years of experience working with big data systems and technologies, including AWS EMR, Apache Spark, Python, Pyspark, and AWS Glue; working with AWS services, including Step Function and Lambda; working with high level languages, including Python, Apache Spark, Shell Scripting, and SQL; and working with highly scalable, low latency big data systems, including DynamoDB, Aurora, MongoDB, RedShift, and/or Snowflake.
Jobsite: Dallas, TX (Telecommuting permitted 100%)
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Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.For further information, please review the Know Your Rights notice from the Department of Labor.