About this role
The team is seeking a skilled Data Engineer to enhance and maintain their Master Data Management (MDM) platform to support evolving business needs. The ideal candidate will be responsible for developing data pipelines and ensuring the reliability and performance of the data systems.
Key Responsibilities:
- Enhance and maintain the MDM platform to align with business requirements.
- Develop data pipelines using Snowflake, Python, SQL, and orchestration tools like Airflow.
- Monitor system performance and troubleshoot data pipeline issues.
- Resolve production issues to ensure platform reliability.
- Collaborate with data engineering and analytics teams to create scalable solutions.
- Apply DevOps practices to streamline deployment and automation processes.
- Integrate cloud-native tools to improve data handling and processing.
Required Skills & Qualifications:
- Proficiency in Snowflake, Python, and SQL.
- Experience with data orchestration tools, particularly Airflow.
- Strong understanding of MDM concepts and practices.
- Familiarity with cloud-native technologies and DevOps methodologies.
- Excellent problem-solving skills and attention to detail.
- Ability to work collaboratively in a team-oriented environment.
Experience:
- Minimum of 5 years of experience in data engineering or a related field.
What we offer:
- Opportunity to work with cutting-edge technologies in a dynamic environment.
- Collaborative team culture focused on innovation and growth.
- Professional development opportunities to enhance your skills.
Applications are read by our talent team, usually within two working days.
If you look like a fit we will call you, and you will hear from us either way.