Python ETL Developer

Job Description

We are looking for an experienced Python ETL Developer to design, develop, and optimize data pipelines. The ideal candidate should have expertise in Python, PySpark, Airflow, and data processing frameworks, along with the ability to work independently and communicate effectively in English. Roles & Responsibilities Develop and maintain ETL pipelines using Python, NumPy, Pandas, PySpark, and Apache Airflow. Work with large-scale data processing and transformation workflows. Optimize and enhance ETL performance and scalability. Collaborate with data engineers and business teams to ensure efficient data flow. Troubleshoot and debug ETL-related issues to ensure data integrity and reliability. Qualifications & Skills 8+ years of Python experience, with 5+ years dedicated to Python ETL development. Proficiency in PySpark, Apache Airflow, NumPy, and Pandas. Experience in working with SQLAlchemy and FastAPI (added advantage). Strong problem-solving skills and the ability to work independently. Good English communication skills to collaborate with global teams. Preferred Qualifications: Experience in cloud-based ETL solutions (AWS, GCP, Azure). Knowledge of big data technologies like Hadoop, Spark, or Kafka.