Python Data Engineer at Kinz Global Consult Limited at KINZ Global Consult

Responsibilities

• Build robust Python-based scripts/services for:
  • Extracting data from source systems
  • Cleaning and transforming the data for analytics
  • Loading it efficiently into a ClickHouse data warehouse
• Structure data pipelines using ELT principles
• Collaborate with our backend team to query, organize, and expose the data via APIs
• Develop Python backend services and APIs for traditional information systems/ applications
• (Optional) Support tasks across our Java Spring Boot backend ecosystem if capable

Requirements

• Strong experience with Python, particularly for data manipulation (e.g., Pandas, SQLAlchemy, etc.)
• Experience building or maintaining ETL/ELT pipelines
• Strong capability with libraries such as Pandas, NumPy
• Experience building general Python applications
• Familiarity with REST APIs, JSON, and integration with external systems
• SQL proficiency and string ability with columnar databases, preferably ClickHouse
• Git and collaborative development experience
• 3 - 4 years of experience in a similar role

Nice-to-Have / Big Advantage:

• Experience with Java (Spring Boot) – we work a lot in Java, and this will make you more versatile and valuable to the team
• Hands-on exposure to predictive modeling, using tools like scikit-learn or Prophet
• Experience with cloud platforms (AWS preferred).