Intern (Bach) Data Engineering
- LocationBengaluru, Karnataka, India
- Work typeRemote
- EmploymentFull-time
- Posted26 October 2026
- SourceHoneywell International's careers page (Oracle Recruiting)
Live checkFirst seen 7 days ago; still listed on Honeywell International's careers page 1 h ago.
Moves fastWhen Honeywell International takes a role down early, it is usually about 8 days after posting. Apply soon.
At a glance
- Skills and toolsPython, Java, Scala
Read from the ad by RoleFinder, with rules and an AI reading; the description is the source.
About the role
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.
Responsibilities
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
Qualifications
YOU MUST HAVE
- Basic understanding of data engineering concepts
- Familiarity with programming languages like Python, Java, or Scala
WE VALUE
- 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
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