Keyrus is looking for a Senior Data Engineer with experience in large-scale data environments, data architecture, performance, and modern cloud solutions. The ideal candidate is passionate about data engineering and has a solid understanding of Python, SQL, and cloud data services.
Requirements
- Act as a Data Engineer in productive and high-volume environments.
- Develop distributed pipelines using Databricks and Apache Spark.
- Work with cloud data services (AWS, Azure, or GCP).
- Ensure good practices of versioning, testing, monitoring, and documentation.
- Collaborate with multidisciplinary teams, maintaining clear communication and technical autonomy.
Benefits
- Diversity and inclusion
- Opportunity to grow professionally and create a career path
- Multidisciplinary team environment
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