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Data Engineer
2 months ago
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.