Description

You design and maintain data pipelines, ETL processes, and real-time streaming solutions to ensure data quality and integrity.

This role is on-site.

Responsibilities

• Design and implement data pipelines for data integration and ETL processes.
• Utilize Kafka for real-time data processing and streaming.
• Collaborate with cross-functional teams to define data requirements and deliver solutions.
• Implement data engineering best practices, data modeling, and governance.
• Maintain comprehensive documentation and participate in Agile development cycles.

Required Skills

• 5+ years of experience in data engineering and pipeline development.
• Proficiency in Python for data processing and automation.
• Strong knowledge of ETL processes and data integration techniques.
• Experience with relational databases, specifically MySQL.
• Familiarity with real-time data streaming tools like Kafka.
• Understanding of data architecture and data modeling.
• Bachelor's degree in a related field.

Key Skills

Education

Any Graduate