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Data Engineer

Houston(On-Site), Texas


  • Design, build, and maintain robust data pipelines and ETL processes in Azure, leveraging tools such as Databricks, Azure Data Factory, and Azure Synapse Analytics
  • Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions
  • Optimize data workflows and infrastructure for performance, scalability, and reliability
  • Implement data governance and security best practices to ensure data integrity and compliance
  • Develop and maintain documentation for data pipelines, systems, and processes
  • Stay updated on the latest Azure technologies and best practices in data engineering and share knowledge with the team


  • Bachelor's degree or higher in Computer Science, Engineering, or a related field
  • Minimum of 5 years of experience in data engineering, with a strong focus on Azure cloud technologies
  • Expertise in Azure tools such as Databricks, Azure Data Factory, Azure Synapse Analytics, and Azure SQL Database
  • Proficiency in programming languages such as Python, SQL, or Scala
  • Solid understanding of data management concepts, including data modeling, ETL, and data warehousing
  • Strong problem-solving skills and attention to detail
  • Excellent communication and collaboration skills
  • Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively

Preferred Qualifications:

  • Experience with other cloud platforms such as AWS or GCP
  • Knowledge of big data technologies such as Apache Spark and Hadoop
  • Certification in Azure or related technologies
  • Experience working in Agile/Scrum environments

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