As a Data Engineer here at Honeywell, you will play an essential role in developing and refining data pipelines that facilitate the smooth and efficient flow of information across various systems. Your efforts will be pivotal in enhancing the organization’s ability to access and utilize critical financial data seamlessly. Your primary focus will be on creating robust, scalable solutions that ensure the real-time delivery and automated processing of data from our diverse data sources to endpoint solutions.

YOU MUST HAVE

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
• 5+ years of proven experience in data engineering, especially within a Snowflake environment.
• Strong proficiency in Python, with experience in developing web-hosted solutions.
• Familiarity with Streamlit, Cortex, and DBT, including knowledge of dynamic tables and tasks.
• Understanding of ETL processes and data warehousing principles.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration abilities to work effectively in a team environment.

WE VALUE

• Experience with cloud platforms (e.g., AWS, GCP, Azure).
• Knowledge of data modeling and database design.
• Familiarity with data visualization tools and techniques.

Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. citizen, U.S. permanent resident, or have asylum or refugee status in the U.S.

Key Responsibilities

• Design, develop, and maintain data pipelines from the Snowflake environment to support efficient data flow and processing.
• Ensure the reliability and performance of data pipelines and troubleshoot any issues that arise.
• Collaborate with data scientists and analysts to understand data requirements and translate them into technical specifications.
• Implement and manage ETL processes using DBT, ensuring data accuracy and integrity.
• Document data workflows and standards to uphold best practices and support team collaboration.
• Support the development of interactive web applications using Streamlit to visualize and present data insights.