Sr Advanced Data Engineer

As a Senior Advanced Data Engineer here at Honeywell, you will play a crucial role in designing, developing, and maintaining advanced data solutions that drive business insights and support decision-making processes. You will leverage your expertise in data engineering to build scalable data pipelines, optimize data storage, and ensure data quality and integrity. Your ability to work with cross-functional teams and translate business requirements into technical solutions will be key to your success in this role.

In this role, you will impact the business by enabling data-driven decision-making, optimizing data processes, and improving overall data management. Your work will contribute to increased operational efficiency, cost savings, and enhanced customer satisfaction.

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.

YOU MUST HAVE

• Bachelor s degree from an accredited institution in a technical discipline such as science, technology, engineering, mathematics
• Proven experience in data engineering
• Proficiency in data engineering tools and programming languages (e. g. , Python, SQL, etc. )
• Experience with data pipeline and ETL processes

WE VALUE

• Master s degree in Data Science, Computer Science, or a related field
• Experience with cloud data platforms (e. g. , AWS, Azure, Google Cloud)
• Knowledge of big data technologies (e. g. , Hadoop, Spark)
• Strong problem-solving skills and attention to detail

Key Responsibilities

• Design and develop scalable and efficient data pipelines, data models, and data integration processes
• Collaborate with crossfunctional teams to understand data requirements and deliver data solutions that meet business needs
• Ensure data quality and integrity by implementing data validation and cleansing processes
• Optimize data engineering processes and infrastructure to improve performance and efficiency
• Stay updated on emerging data engineering technologies and best practices to drive innovation and continuous improvement

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.