Motife is looking for a skilled Data Engineer to join a project for a US-based leader in background screening solutions. You will be part of a diverse, international team focused on building and scaling a robust Azure Data Analytics Platform to support mission-critical services for Fortune 100 clients.
Key responsibilities
- Build reusable, metadata-driven data pipelines and automate platform processes.
- Develop integrations with various data sources and extend shared ETL libraries.
- Create monitoring solutions for the Databricks platform and proactively address performance issues.
- Conduct code reviews and implement architecture improvements to ensure high-quality standards.
- Collaborate with infrastructure teams on cloud resources and maintain comprehensive documentation.
Requirements
- Strong experience with Python, PySpark, and SQL in production environments.
- Hands-on experience building robust data pipelines using Databricks Spark.
- Knowledge of Kafka or similar streaming platforms and Spark Structured Streaming.
- Familiarity with CDC concepts and Databricks Delta optimization techniques.
- Experience with CI/CD pipelines and Agile/Scrum methodologies.
What we offer
- 100% remote work model allowing for flexibility.
- Opportunity to work in an international setting with a focus on professional development.
- Engagement in a senior engineering team building secure and scalable data solutions.