Data Engineer - Python, ETL

Data Engineer - Python, ETL

Role Summary

Looking for a Data Engineer with strong experience in building scalable ETL pipelines, data models, and cloud-based data solutions using modern big data technologies.

Key Responsibilities

• Design and build scalable ETL pipelines and data models
  
• Develop and maintain large-scale data applications and integrations
  
• Write and optimize SQL queries and scripts
  
• Work with Databricks / Snowflake and big data tools
  
• Build workflows using Airflow or Azure Data Factory
  
• Integrate APIs and support CI/CD pipelines (Git, Jenkins)
  
• Work in Agile environment with TDD practices
  

Required Skills

• 6–8 years Data Engineering experience
  
• Strong Python (PySpark, Pandas) or Java
  
• Strong SQL skills
  
• ETL, data modeling, and pipeline development
  
• Experience with Databricks or Snowflake
  
• Cloud experience (Azure or GCP)
  
• CI/CD (Git, Jenkins) + Agile
  

Preferred

• Capital Markets experience
  
• Docker / Kubernetes
  
• Real-time or low-latency systems
  

Must-Have

• Python or Java
  
• ETL + Data Modeling
  
• SQL
  
• Databricks/Snowflake
  
• Cloud (Azure/GCP)
  

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