Python Data Engineer

About the role

FlatGigs is looking for a Python Data Engineer to design, build and maintain reliable, scalable data pipelines that enable data‑driven decision‑making and analytics.

Key responsibilities

• Design, develop and maintain scalable data pipelines and ETL processes using Python.
• Transform raw data from diverse sources into structured formats for analysis and machine‑learning models.
• Collaborate with data scientists, analysts and engineers to ensure data accessibility and quality.
• Implement data validation, cleansing and monitoring to guarantee data integrity.
• Optimize and troubleshoot data workflows for performance and reliability.
• Work with cloud data platforms such as AWS, Azure or Google Cloud Platform.
• Participate in code reviews, documentation and enforce best practices for data engineering projects.

Required profile

• Bachelor’s degree in Computer Science, Information Technology or a related field.
• 4+ years of experience in data engineering or a similar role with a focus on Python development.
• Strong problem‑solving abilities and experience working in cross‑functional teams.

Required skills

• Python programming.
• Pandas, NumPy, Airflow.
• SQL and NoSQL databases (PostgreSQL, MongoDB).
• Cloud platforms: AWS, Azure, Google Cloud Platform.
• Containerization and orchestration tools: Docker, Kubernetes (optional).

What we offer

• Market‑competitive salary.
• Paid leaves.
• Health insurance.
• Hybrid work model.