Data Engineer Job in Hyderabad at Honeywell International, Inc.

Honeywell is hiring for the role of Data Engineer!

Responsibilities of the Candidate:

• 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

Requirements:

• 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