Remote Python Data Engineer

Description:

• Design, build, and maintain scalable data pipelines and ETL processes using Python.
• Transform raw data from various sources into structured formats suitable 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 ensure data integrity.
• Optimize and troubleshoot data workflows to improve performance and reliability.
• Work with cloud data infrastructure, including AWS, Azure, or Google Cloud Platform.
• Participate in code reviews, documentation, and best practice enforcement for data engineering projects.

Requirements:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• 4+ years experience in data engineering or a related role with a focus on Python development.
• Strong proficiency in Python and experience with relevant libraries such as Pandas, NumPy, and Airflow.
• Experience designing and managing ETL pipelines and data workflows.
• Hands-on experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB).
• Familiarity with cloud platforms (AWS, Azure, or GCP) and their data services.
• Experience with containerization and orchestration tools (Docker, Kubernetes) is a plus.
• Good problem-solving skills and ability to work effectively in cross-functional teams.

Benefits:

• Market Competitive Salary.
• Leaves.
• Health Insurance.
• Hybrid Work Model.