About the Role:

Join a dynamic team that is focused on building cutting-edge data solutions. As a Data Engineer, you'll play a key role in developing, maintaining, and improving our data pipeline, leveraging advanced technologies to extract, transform, and analyze large datasets.

Responsibilities:

• Develop and maintain data infrastructure using cloud technologies.
• Automate data processing and scheduling scripts.
• Evaluate and implement new technologies to improve the data platform.
• Support production systems and troubleshoot issues.
• Conduct code reviews and provide feedback.
• Collaborate with stakeholders to understand requirements.
• Serve as a subject matter expert for the data platform.

Qualifications:

• Strong problem-solving skills.
• Knowledge of cloud technologies (AWS or equivalent).
• Expertise in serverless technologies, frameworks, and best practices.
• Experience with infrastructure automation tools (CloudFormation, Terraform).
• Proficiency in Scala, Java, C#, SQL, or Python.
• High-quality coding and testing practices.
• Willingness to learn new technologies.
• Knowledge of agile software development practices.
• Strong interpersonal skills and a positive attitude.
• Experience debugging and troubleshooting critical systems.

Preferred Qualifications:

• Exposure to Apache Spark, Trino, or other big data processing systems.
• Knowledge of streaming data principles.
• Understanding of database technologies and standards.
• Experience working with large and complex datasets.
• Exposure to data engineering practices for machine learning.
• Experience with Git, Jenkins, and CI/CD tools.