Mid-level Data Engineer - Full-time - Worldwide

Role Overview

Join N-ZYTE as a dedicated Mid-level Data Engineer. In this role, you will be instrumental in designing, building, and maintaining our advanced data infrastructure. This position is ideal for individuals who are passionate about data and eager to work with cutting-edge technologies.

Responsibilities

• Develop and maintain robust data pipelines using Airflow to ensure seamless data flow and processing.
• Utilize Google Cloud Platform to design and implement scalable and efficient data solutions.
• Collaborate with cross-functional teams to understand data requirements and provide technical expertise.
• Write clean and efficient Python code to extract, transform, and load data from diverse sources.
• Build data models using dbt and BigQuery, including constructing ERDs and comprehensive documentation.
• Optimize SQL queries to enhance data retrieval and analysis performance.
• Troubleshoot and resolve data-related issues to ensure data integrity and accuracy.

Required Skills

• Mid-level experience as a Data Engineer working with large-scale data systems.
• Proficiency in Airflow, Google Cloud Platform, Python, and SQL.
• Strong problem-solving skills with the ability to analyze complex data sets.
• Excellent communication and collaboration skills to work effectively with cross-functional teams.

Nice to Have

• Experience with Terraform for infrastructure provisioning.
• Familiarity with BigQuery for data warehousing and analytics.