Datа Engineer

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Requirements:

• 4–5 years of experience in building data pipelines using Python.
• Strong expertise in Redshift, Athena, and Airflow.
• Proven experience in developing data pipelines in data and analytics environments.
• Advanced proficiency in SQL.
• Excellent communication and collaboration skills.
• Good command of English, both written and verbal.

Responsibilities:

• Design, develop, and maintain robust data pipelines using Python to support the new analytics platform.
• Utilize technologies such as Redshift, Athena, and Airflow for efficient data processing and analytics.
• Build and optimize data pipelines in a scalable, reliable, and high-performance data environment.
• Develop and manage complex SQL queries to extract, transform, and load data from multiple sources.
• Collaborate with stakeholders and team members to deliver high-quality data solutions that meet business requirements.
• Ensure clear and effective communication to align on project goals and deliverables.