Azure Devops Engineer

Responsibilities

JOB DESCRIPTION

As a Databricks Data Engineer, you will:

• Design, construct, install, test, and maintain highly scalable data management systems using Azure Databricks.
• Develop data processing pipelines using Databricks Notebooks, Spark SQL, and other Databricks utilities.
• Integrate Azure Databricks with other Azure services such as Azure Data Lake Storage, Azure SQL Data Warehouse, and Azure Cosmos DB.
• Ensure optimal performance of data processing and extraction, transformation, and loading (ETL) processes.
• Collaborate with data architects to implement effective data models and schemas within the Databricks environment.
• Monitor data reliability, efficiency, and quality, and implement improvements as needed.
• Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs.
• Develop and maintain documentation related to data pipeline architecture, development processes, and data governance.
• Stay current with industry trends and developments in cloud computing, big data, and Azure Databricks.
  
  
  

Skills

• Azure certifications such as Azure Data Engineer Associate or Azure Data Scientist Associate.
• Experience with machine learning frameworks and libraries.
• Knowledge of additional big data tools and platforms.
• Familiarity with data visualization tools and techniques.
  
  
  

Qualification

• Bachelor's degree in Engineering or a related field.
• Proven experience as a Data Engineer with a focus on Azure Databricks and related Azure services.
• Strong programming skills in languages such as Python, Scala, or Java.
• Experience with Apache Spark and its integration with Databricks.
• Proficiency in SQL and experience with data modeling and data warehousing concepts.
• Familiarity with DevOps practices and CI/CD pipelines.
• Excellent analytical and problem-solving abilities.
• Effective communication skills and the ability to work collaboratively in a team environment.
  
  
  

Career Level - IC2

Responsibilities

Skills

• Azure certifications such as Azure Data Engineer Associate or Azure Data Scientist Associate.
• Experience with machine learning frameworks and libraries.
• Knowledge of additional big data tools and platforms.
• Familiarity with data visualization tools and techniques.
  
  
  

Qualification

• Bachelor's degree in Engineering or a related field.
• Proven experience as a Data Engineer with a focus on Azure Databricks and related Azure services.
• Strong programming skills in languages such as Python, Scala, or Java.
• Experience with Apache Spark and its integration with Databricks.
• Proficiency in SQL and experience with data modeling and data warehousing concepts.
• Familiarity with DevOps practices and CI/CD pipelines.
• Excellent analytical and problem-solving abilities.
• Effective communication skills and the ability to work collaboratively in a team environment.
  
  
  

About Us

As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity.

We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all.

Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.

We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States.

Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.