Honeywell is hiring for the role of Data Engineer

Honeywell is hiring for the role of Data Engineer Honeywell International Inc., American advanced-technology company that manufactures aerospace and automotive products; residential, commercial, and industrial control systems; specialty chemicals and plastics; and engineered materials. The present company was formed in 1999 through the merger of AlliedSignal Inc.Honeywell is hiring for the role of Data EngineerHoneywell International Inc., American advanced-technology company that manufactures aerospace and automotive products; residential, commercial, and industrial control systems; specialty chemicals and plastics; and engineered materials. The present company was formed in 1999 through the merger of AlliedSignal Inc.

Company Name	Honeywell
Post Name	Email support
Qualification	Bachelor’s Degree
Branch	Any Branches
Batch	Recent Batches
Salary	Up to 10 LPA
Experience	Fresher / Experience
Job Location	WFH
Last Date	ASAP

Honeywell is hiring for the role of Data Engineer

Roles And Responsibilities :

Design and implement strong data engineering principles to bring data from relevant source systems, transform and build the target models in Data Consumption engagements
Build data models to adapt, robust, scalable, secure data architecture and modern data engineering platform, tools and technologies, implement industry best practices
Develop data pipelines leveraging standards, guidelines, and data governance rules
Partner with the IT support team on production processes, continuous improvement, and production deployments
Think creatively to find optimal solutions to complex problems
Ensure that technical solutions are scalable, maintainable, and adhere to industry best practices and standards
Collaborate with cross-functional teams, including product owners, designers, and other stakeholders, to ensure the successful delivery of projects
Conduct code reviews and ensure that code quality is maintained throughout the development process
Contribute to the standards/frameworks and tools to improve the scalability of the EDW
Troubleshoot and resolve technical issues that arise during the development process

Qualifications :

3-6 years of relevant experience with a bachelor’s degree in computer science, software engineering, or a related discipline
Strong advanced SQL skills: You should be well-versed in writing complex queries, joining large datasets, and optimizing queries for performance
ETL experience: You should have experience in designing and building ETL pipelines to extract data from various sources and expose the pipeline to various data consumption platforms like Power BI, Tableau, Data Bricks, App building platforms like Mendix, Appian, etc
Should have exposure to relational and non-relational databases like SQL, NoSQL, PostgreSQL, and Big Data systems like Spark, Hadoop, etc
Programming skills: You should be proficient in at least one programming language, such as Python, Java, C++, Scala, or Ruby
Being able to work with Big Data using tools like Hadoop, Spark, and Kafka
Cloud experience: You should have experience working with cloud platforms like AWS or Azure and understand how to optimize Snowflake’s performance within a cloud environment.

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