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Role: Azure Data Engineer
Location: Remote
Fulltime
Skills: Azure Databrick, Python, Spark, Kafka, SQL, IAC, ETL
Qualifications:
- 7+ years of IT experience, with hands-on roles in web-based products.
- 2+ years of experience in large-scale projects involving multiple teams.
- 2+ years of experience with Agile methodologies and Test-Driven Development.
- 2+ years of experience in Continuous Integration using tools like Jenkins or GitHub Actions.
- Proficient in Python and Scala programming (Spark scripting and API experience is a plus).
- Expertise in Spark programming within Databricks (Spark SQL, Spark Streaming).
- Strong knowledge of Azure Data tools, particularly Azure Data Factory (ADF).
- Familiarity with Airflow or other scheduling software.
- Understanding of SQL and relational database management systems (RDBMS).
- Experience with Kafka programming is a significant advantage.
- Solid Azure Cloud experience, sufficient to operate as an Azure Data Developer, along with knowledge of Azure Cloud security models.
- Familiarity with Infrastructure as Code (IaC) tools like Terraform or Bicep.
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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