You’ll be responsible for building scalable data pipelines, maintaining production infrastructure, and collaborating in Agile teams to deliver high-quality data solutions. 

Requirements: 

• Strong proficiency in Python for data processing and automation 
• Solid experience in Data Engineering and building data pipelines 
• Hands-on with Big Data tools – e.g., Apache Spark, Databricks 
• Familiarity with Airflow or other orchestration frameworks 
• Experience working in Azure Cloud environments 
• Practical knowledge of Docker and containerized development 

Preferred Qualifications: 

• Understanding of blockchain concepts and data structures 
• Experience with production infrastructure tools such as Datadog 
• Familiarity with CI/CD automations and cloud-native DevOps workflows 
• Proven experience working in enterprise Agile environments