Data Engineer- Scala and Spark ID 2144

As a Data Engineer Scala and Spark you will:

• Develop and maintain data processing applications using Scala and Spark.
  
• Utilize Scala functionalities and higherorder functions in your daily tasks.
  
• Work comfortably with Azure services to support data processing and storage needs.
  
• Integrate and manage CI/CD pipelines to ensure seamless deployment and updates.
  
• Leverage your knowledge of SQL for data manipulation and querying.
  
• Collaborate with the team to optimize data workflows and processes.
  

What You Bring to the Table:

• 810 years of experience in data engineering.
  
• Proven experience in Scala and Spark development.
  
• Strong handson experience with higherorder Scala functions.
  
• Proficiency in using Azure services.
  
• Solid understanding and experience with SQL.
  
• Familiarity with CI/CD pipelines.
  
• Experience with Quantexa is a plus.
  
• Experience with Kubernetes DevOps Databricks Docker KeyVault Graph Machine Learning.
  
• Proficiency with Angular and Graddle Build Tool.
  
• Quantexa certification Elasticsearch experience.
  
• Experience with other cloud platforms besides Azure.
  
• Azure certifications like AZ900 or DP203 are beneficial.
  

You should possess the ability to:

• Develop and maintain robust data processing solutions using Scala and Spark.
  
• Work independently and as part of a team in a fastpaced environment.
  
• Apply best practices in data engineering and software development.
  
• Troubleshoot and resolve issues related to data processing and storage.
  

What we bring to the table:

• Exposure to cuttingedge technologies and tools in the data engineering field.
  
• Opportunities to work on challenging and impactful projects.
  
• Support for professional growth and development.
  
• Collaborative and innovative work environment.
  

As a Data Engineer- Scala and Spark, you will: Develop and maintain data processing applications using Scala and Spark. Utilize Scala functionalities and higher-order functions in your daily tasks. Work comfortably with Azure services to support data processing and storage needs. Integrate and manage CI/CD pipelines to ensure seamless deployment and updates. Leverage your knowledge of SQL for data manipulation and querying. Collaborate with the team to optimize data workflows and processes. What You Bring to the Table: 8-10 years of experience in data engineering. Proven experience in Scala and Spark development. Strong hands-on experience with higher-order Scala functions. Proficiency in using Azure services. Solid understanding and experience with SQL. Familiarity with CI/CD pipelines. Experience with Quantexa is a plus. Experience with Kubernetes, DevOps, Databricks, Docker, KeyVault, Graph Machine Learning. Proficiency with Angular and Graddle Build Tool. Quantexa certification, Elasticsearch experience. Experience with other cloud platforms besides Azure. Azure certifications like AZ-900 or DP-203 are beneficial. You should possess the ability to: Develop and maintain robust data processing solutions using Scala and Spark. Work independently and as part of a team in a fast-paced environment. Apply best practices in data engineering and software development. Troubleshoot and resolve issues related to data processing and storage. What we bring to the table: Exposure to cutting-edge technologies and tools in the data engineering field. Opportunities to work on challenging and impactful projects. Support for professional growth and development. Collaborative and innovative work environment.