Azure Data Engineer ID 2031

About us:

Stafide is the premier destination for tech talent consulting providing comprehensive employment services throughout Europe. Our mission is straightforward: to effortlessly connect job seekers with employers focusing on the rapidly changing technology sector. Boasting unparalleled expertise and a steadfast commitment we specialize in aligning elite tech talent with companies to meet their IT consulting requirements precisely. Be part of our journey as we redefine the landscape of tech recruitment.

As an Azure Data Engineer you will:

• Develop and review software solutions deployed in the Azure cloud using ADLS ADF and Databricks.
  
• Perform Apache Spark performance tuning and debugging.
  
• Develop and maintain CI/CD pipelines using Azure DevOps for continuous integration and delivery (optional).
  
• Work in an agile environment.
  

What You Bring to the Table:

• 3 years of relevant experience in a Data Engineering role.
  
• Proficiency in Python and Spark (PySpark and Databricks).
  
• Strong experience with Apache Spark performance tuning and debugging.
  
• Handson experience with ADLS ADF and Databricks in the Azure cloud environment.
  
• Experience working with YAML/shell scripting skills (optional).
  
• Familiarity with creating unit tests and integration testing (optional).
  
• Strong quantitative and problemsolving skills.
  
• Excellent communication skills.
  
• Ability to quickly learn and adapt to new technologies and methodologies.
  
• You should possess the ability to:
  
• Develop and review cloudbased software solutions.
  
• Perform performance tuning and debugging for Apache Spark applications.
  
• Maintain CI/CD pipelines for continuous integration and delivery (optional).
  
• Create unit tests and integration tests for developed solutions (optional).
  
• Work effectively in an agile environment.
  
• Communicate technical concepts clearly and effectively.
  
• Learn and adapt quickly to new tools and technologies.
  

What We Bring to the Table:

• A collaborative and innovative workplace that encourages creativity and supports professional growth.
  
• Opportunities to lead and implement cuttingedge technology solutions in a robust environment.
  
• Competitive compensation and benefits with opportunities for career advancement and continuous learning.
  
• A dynamic team environment where your skills and expertise will be valued and where you can make a significant impact on our technological direction.
  

About us: Stafide is the premier destination for tech talent consulting, providing comprehensive employment services throughout Europe. Our mission is straightforward: to effortlessly connect job seekers with employers, focusing on the rapidly changing technology sector. Boasting unparalleled expertise and a steadfast commitment, we specialize in aligning elite tech talent with companies to meet their IT consulting requirements precisely. Be part of our journey as we redefine the landscape of tech recruitment. As an Azure Data Engineer, you will: Develop and review software solutions deployed in the Azure cloud using ADLS, ADF, and Databricks. Perform Apache Spark performance tuning and debugging. Develop and maintain CI/CD pipelines using Azure DevOps for continuous integration and delivery (optional). Work in an agile environment. What You Bring to the Table: 3+ years of relevant experience in a Data Engineering role. Proficiency in Python and Spark (PySpark and Databricks). Strong experience with Apache Spark performance tuning and debugging. Hands-on experience with ADLS, ADF, and Databricks in the Azure cloud environment. Experience working with YAML/shell scripting skills (optional). Familiarity with creating unit tests and integration testing (optional). Strong quantitative and problem-solving skills. Excellent communication skills. Ability to quickly learn and adapt to new technologies and methodologies. You should possess the ability to: Develop and review cloud-based software solutions. Perform performance tuning and debugging for Apache Spark applications. Maintain CI/CD pipelines for continuous integration and delivery (optional). Create unit tests and integration tests for developed solutions (optional). Work effectively in an agile environment. Communicate technical concepts clearly and effectively. Learn and adapt quickly to new tools and technologies. What We Bring to the Table: A collaborative and innovative workplace that encourages creativity and supports professional growth. Opportunities to lead and implement cutting-edge technology solutions in a robust environment. Competitive compensation and benefits, with opportunities for career advancement and continuous learning. A dynamic team environment where your skills and expertise will be valued and where you can make a significant impact on our technological direction.