Avance Consulting - Dallas, TX

posted 4 days ago

Full-time - Mid Level
Dallas, TX

About the position

The ETL Data Engineer will play a crucial role in ensuring the quality and reliability of data through the design, implementation, and execution of comprehensive testing. This position requires a strong background in ETL processes and data integration, with a focus on utilizing big data technologies and testing frameworks to validate data against business rules.

Responsibilities

  • Design, implement, and execute comprehensive testing for data quality and reliability.
  • Build a comprehensive code base and business rules for testing and validation of data based on User Stories.
  • Utilize ETL best practices and data quality principles in data integration processes.
  • Collaborate with teams using Agile/Scrum methodologies to ensure project success.
  • Work with CI/CD pipelines to streamline data engineering processes.

Requirements

  • 6 to 8 years of experience as a development data engineer or similar role with an ETL background.
  • Strong experience in Pyspark.
  • Experience with testing frameworks.
  • Knowledge of data integration/ETL best practices and data quality principles.
  • Familiarity with continuous integration and continuous deployment (CI/CD) pipelines.
  • Excellent analytical and problem-solving skills.
  • Strong communication and collaboration skills.
  • Experience with big data technologies such as Hadoop, Spark, and Hive.
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