Posted:1 week ago| Platform:
Work from Office
Full Time
Role & responsibilities Design, develop, and maintain scalable Python applications for data processing and analytics. Build and manage ETL pipelines using Databricks on Azure/AWS cloud platforms. Collaborate with analysts and other developers to understand business requirements and implement data-driven solutions. Optimize and monitor existing data workflows to improve performance and scalability. Write clean, maintainable, and testable code following industry best practices. Participate in code reviews and provide constructive feedback. Maintain documentation and contribute to project planning and reporting. Skills & Experience Bachelor's degree in Computer Science, Engineering, or related field Prior experience as a Python Developer or similar role, with a strong portfolio showcasing your past projects. 2-5 years of Python experience Strong proficiency in Python programming. Hands-on experience with Databricks platform (Notebooks, Delta Lake, Spark jobs, cluster configuration, etc.). Good knowledge of Apache Spark and its Python API (PySpark). Experience with cloud platforms (preferably Azure or AWS) and working with Databricks on cloud. Familiarity with data pipeline orchestration tools (e.g., Airflow, Azure Data Factory, etc.).
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