Python Lead Developer

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• Minimum 5+ years of practical experience building production‑grade data pipelines using Python and PySpark.
• Airflow Expertise:
  Proven track record of designing, deploying, and managing Airflow DAGs in enterprise environments.
• CI/CD for Data Projects:
  Ability to build and maintain CI/CD pipelines for data engineering workflows, including automated testing and deployment.
• Cloud & Containers:
  Experience with containerization (Docker) and cloud platforms (GCP) for data engineering workloads, with appreciation for twelve‑factor design principles.
• Python Fluency:
  Ability to write object‑oriented Python code, manage dependencies, and follow industry best practices.
• Version Control:
  Proficiency with Git for source code management and collaboration (commits, branching, merging, Git Hub/Git Lab workflows).
• Unix/Linux:
  Strong command‑line skills in Unix‑like environments.
• SQL:
  Solid understanding of SQL for data ingestion and analysis.
• Collaborative Development:
  Comfortable with code reviews, pair programming and using remote collaboration tools effectively.
• Engineering Mindset:
  Writes code with an eye for maintainability and testability; excited to build production‑grade software.
• Education:
  
  Bachelor’s or graduate degree in Computer Science, Data Analytics or related field, or equivalent work experience.

• Seniority level:
  Mid‑Senior level
• Employment type:
  
  Contract
• Job function:
  Information Technology
• Industries: IT Services and IT Consulting

• Medical insurance
• Vision insurance
• 401(k)
• Disability insurance