Data Engineer

2 days ago


Dallas, United States LHH Full time

Position Overview: We are seeking a highly skilled and experienced Data Engineer to join our dynamic team. The ideal candidate will have a strong background in SQL, big data technologies, and cloud platforms, with a proven track record of developing robust data pipelines and ETL processes. This role requires a minimum of 4 years of experience in data engineering or a related field.

Key Responsibilities:

  • Design, develop, and maintain scalable data pipelines and ETL processes to integrate various data sources into a unified data warehouse.
  • Utilize SQL and relational databases (e.g., SQL Server, MySQL, Azure SQL Database) to manage and manipulate data.
  • Implement big data technologies such as Hadoop, Spark, and Kafka to handle large-scale data processing.
  • Leverage cloud platforms (AWS, Azure, GCP) for data storage, processing, and analytics.
  • Develop and maintain data integration workflows using tools like Apache Nifi and Talend.
  • Create and manage data pipelines in Azure Data Factory to ensure efficient data flow and transformation.
  • Collaborate with cross-functional teams to understand data requirements and deliver high-quality data solutions.

Required Qualifications:

  • Minimum of 4 years of experience in data engineering or a related field.
  • Expertise in SQL and experience with relational databases (e.g., SQL Server, MySQL, Azure SQL Database).
  • Proficiency in programming languages such as Python, Java, or Scala.
  • Experience with big data technologies (Hadoop, Spark, Kafka) and cloud platforms (AWS, Azure, GCP).
  • Experience with data integration tools (e.g., Apache Nifi, Talend).
  • Proven experience in developing data pipelines in Azure Data Factory.
  • Strong problem-solving skills and attention to detail.
  • Excellent communication and teamwork abilities.



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