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Datawarehouse Engineer

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About the job

Responsibilities
Client seeking a Data warehouse Engineer in Houston, TX. Duties Include:

  • Build and maintain ETL pipelines with large data sets using services such as AWS Glue, EMR, Kinesis or Kafka, CloudWatch
  • Datawarehouse Engineer will design and build machine learning models and algorithms to solve complex problems
  • Build machine learning models for solving complex problems using AWS services
Requirements:
  • 7+ years of strong hands-on experience working in data warehousing and data engineering
  • Strong in writing SQL queries and performance tuning in AWS Redshift and other industry-leading RDMS such MS SQL Server, Postgres
  • Strong Python development experience with proficiency in Spark or PySpark and in using APIs
  • Proficient in working with AWS Services such as AWS Lambda, Event Bridge, Step functions, SNS, SQS, S3 and MI models
  • Knowledge of machine learning, deep learning AMIs and natural language processing (NLP) techniques
  • Should be able to work independently with minimal guidance, and excellent problem-solving and analytical skills
Preferred Skills:
  • Familiar with infrastructure coding such as Cloud Formation
  • Worked in CI/CD pipeline and agile methodologies
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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