Data Engineer
1 month ago
We are seeking a highly skilled Data Engineer to join our team and contribute to the development of our data infrastructure. As a key member of our data engineering team, you will work closely with data scientists, analysts, and business teams to design, build, and maintain scalable data management systems.
Key Responsibilities:
- Design and implement data pipelines and storage solutions to improve data processing and decision-making efficiency.
- Integrate emerging data management and software engineering technologies into our existing data structures, ensuring compliance with data management and security policies.
- Monitor performance and data accuracy of data processing systems, identifying areas for improvement and implementing solutions.
- Maintain and improve our CI/CD systems and code base, ensuring high-quality standards are met.
- Collaborate with junior data engineers, providing guidance and mentorship to help them grow in their roles.
- Stay up-to-date with the latest technologies and tools, applying your expertise to drive innovation and improvement in our data infrastructure.
Requirements:
- Bachelor's degree or above in Computer Science, Engineering, or a related field.
- At least 3 years of relevant experience in data engineering, with a strong track record of designing and implementing complex data solutions.
- Proficiency in Python and experience in developing robust, maintainable, and scalable data processing pipelines.
- Experience with CI/CD systems, automated workflows, and integrating data quality checks into deployment processes.
- Strong experience with cloud services, including AWS and Snowflake, with a solid understanding of data warehousing principles and ETL processes.
- Expertise in working with all forms of data infrastructure and adept at managing streaming and batch data systems.
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