Job Description

Responsibilities

Design, develop, and maintain ETL processes using Python.
Integrate data from various sources into a central data warehouse.
Ensure data quality and integrity throughout the ETL process.
Optimize ETL processes for performance and scalability.
Collaborate with data analysts and data engineers to understand data requirements.
Monitor and troubleshoot ETL jobs and processes to ensure smooth operations.

5-6 years of experience in ETL development using Python.
Proficiency in SQL and database management systems (e.g., PostgreSQL, MySQL, or Oracle).
Strong understanding of data warehousing concepts and methodologies.
Experience with data integration tools and frameworks such as Apache Airflow or Apache NiFi.
Familiarity with cloud platforms like AWS, Azure, or Google Cloud.
Knowledge of data modeling and ETL best practices.
Strong problem-solving skills and attention to detail.
Ability to work collaboratively in a team environment and communicate effectively.