Roles & Responsibilities:

- Design, develop, and maintain ETL pipelines using Python, NumPy, Pandas, PySpark, and Apache Airflow to process and transform large volumes of data efficiently.
- Optimize and scale ETL workflows to enhance data processing performance, ensuring minimal latency and maximum reliability.
- Work with large-scale data processing frameworks, integrating various data sources, APIs, and databases to streamline data ingestion and transformation.
- Implement data validation, error handling, and logging mechanisms to ensure the integrity and consistency of data.
- Collaborate with data engineers, analysts, and business stakeholders to understand data requirements and deliver high-quality ETL solutions.
- Monitor, troubleshoot, and debug ETL failures and performance issues, ensuring smooth data operations.
- Enhance and automate existing ETL processes, adopting best practices in data engineering and software development.
- Ensure compliance with data governance, security, and regulatory requirements while handling sensitive business data.

Skills: python,pyspark,etl development,numpy,data processing

📌 Python ETL Developer (Mumbai)
🏢 EZSpace Ventures
📍 Mumbai