• Build, administer, and scale data processing pipelines
• Improve the scalability, stability, accuracy, speed, and efficiency of our existing data systems
• Support data scientists to make prototypes production-ready
• Ensure ways to enhance data quality and reliability
• Practice CI/CD

Requirements

Engineering degree in Computer Science or a related field.
Knowledge of Python and/or Scala.
SQL knowledge.
Strong problem-solving and analytical skills.
A basic understanding of software development best practices, including version control, CI/CD, automation, pair programming, documentation, and testing.
Even better if: Experience with Spark is a plus.
Experience with orchestration tools (e.g., Airflow, Prefect, Dagster).
Experience with Databricks.
Knowledge of Kubernetes is a plus

🔍 ATS Optimization Keywords
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Hard Skills

Python
Scala
SQL
Spark
Airflow
Prefect
Dagster
Databricks
Kubernetes
CI/CD

Soft Skills

problem-solving
analytical skills

Certifications & Qualifications

Engineering degree in Computer Science

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