Data Engineer • Mid-Level

Who you are

You have 3 to 5 years of experience in data analysis and creating ETL processes — you've worked with complex data environments and understand the importance of data quality and validation. Your solid knowledge of Python and SQL allows you to effectively validate and test data solutions, ensuring they meet high standards of quality.

You are familiar with cloud environments, particularly AWS and Azure, and have experience designing and executing validation pipelines in these settings. Your expertise in PySpark and Databricks enables you to handle large datasets efficiently, and you are comfortable working with both cloud and on-premise architectures.

You have a strong grasp of CI/CD processes, particularly in Azure DevOps, and understand how to integrate automated testing into your workflows. Your experience with automated testing and performance testing ensures that the solutions you develop are robust and reliable.

You thrive in agile environments and actively participate in agile events, promoting modern QA practices applied to big data. Your effective communication skills and problem-solving abilities make you a valuable team player who can adapt to changing requirements and collaborate with cross-functional teams.

Desirable

Experience with additional cloud platforms or big data technologies would be a plus, as would familiarity with data cleaning techniques and agile methodologies. You are eager to learn and grow in your role, continuously seeking opportunities to enhance your skills and contribute to your team's success.

What you'll do

As a Data Engineer at NEORIS, you will execute and design tests to validate the quality of analytical solutions in complex data environments. You will participate in the validation of analytical models through automated testing and data analysis, ensuring that the solutions meet the needs of our clients.

You will design and execute validation pipelines in cloud environments, utilizing AWS, Azure, and Databricks to ensure data integrity and quality. Your role will involve ensuring the quality of ETL processes and validating the entire data environment, including ingestion, transformation, and cleaning.

You will support continuous integration and continuous deployment (CI/CD) processes in Azure DevOps, executing automated tests that include performance testing. Your contributions will help drive the success of our data solutions and ensure they are delivered on time and meet client expectations.

You will actively participate in agile events, promoting modern QA practices applied to big data, and collaborate with other team members to foster a culture of innovation and continuous improvement.

What we offer

At NEORIS, we provide a supportive and collaborative work environment where you can thrive. We offer a comprehensive benefits package, including life insurance and private medical insurance, as well as access to training platforms to support your professional development. Join us and be part of a multicultural team that values innovation and continuous learning.