Intern (Bach) Data Engineering
Honeywell
As an Intern (Bach) Data Engineering here at Honeywell, you will gain hands-on experience in designing, developing, and implementing data engineering solutions. This role will provide you with the opportunity to work on real-world projects, collaborate with cross-functional teams, and learn from experienced data engineers. You will be involved in optimizing data pipelines, ETL processes, and ensuring data quality and integrity.
In this role, you will impact the efficiency and effectiveness of our data engineering processes, contributing to the overall success of our data-driven initiatives. You will also have the chance to stay up-to-date with emerging technologies and industry best practices in data engineering.
At Honeywell, our people leaders play a critical role in developing and supporting our employees to help them perform at their best and drive change across the company. Help to build a strong, diverse team by recruiting talent, identifying, and developing successors, driving retention and engagement, and fostering an inclusive culture.
Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments – powered by our Honeywell Forge software – that help make the world smarter, safer and more sustainable.
As an Intern (Bach) Data Engineering here at Honeywell, you will design, develop, and implement data engineering solutions, optimize data pipelines, and ensure data quality. Collaborate with teams and learn from experienced engineers.
YOU MUST HAVE
- Basic understanding of data engineering concepts
- Familiarity with programming languages like Python, Java, or Scala
- Pursuing an advanced degree in Computer Science, Engineering, or a related field
- Experience with data modeling, data warehousing, and data integration
- Strong analytical and problem-solving skills
Key Responsibilities
- Assist in the development and implementation of data pipelines and ETL processes
- Collaborate with crossfunctional teams to gather requirements and understand business needs
- Perform data analysis and provide insights to support decisionmaking
- Learn and utilize various data engineering tools and technologies
- Contribute to the continuous improvement of data engineering processes and best practices