Data Engineer

Saxon GlobalJersey City, NJ

About The Position

We are seeking a skilled Data Engineer with extensive experience to join our team. The ideal candidate will have a strong background in data engineering principles and a proven track record of success in building and optimizing data pipelines. This role requires advanced proficiency in Databricks, Spark, and PySpark/Scala, as well as expertise in data visualization tools like Power BI. You will be responsible for designing, developing, and maintaining data solutions, ensuring data quality and accessibility for business insights. Experience with Azure cloud services, including Data Lake and Data Factory, is essential. The role also demands strong problem-solving abilities and the capacity to thrive in an Agile development environment.

Requirements

  • 5+ years of experience in data engineering.
  • Strong proficiency with Databricks, Spark, PySpark/Scala.
  • Advanced skills in Power BI, DAX, and data visualization best practices.
  • Experience with Azure Data Lake, Data Factory, and SQL.
  • Strong problem-solving skills.
  • Experience working in Agile environments.

Responsibilities

  • Design, build, and maintain scalable data pipelines and ETL processes.
  • Develop and optimize data models for performance and efficiency.
  • Implement data warehousing solutions and ensure data integrity.
  • Collaborate with data scientists and analysts to understand data needs and deliver solutions.
  • Create and maintain data visualizations and reports using Power BI.
  • Troubleshoot and resolve data-related issues.
  • Participate in Agile ceremonies and contribute to sprint planning and execution.
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