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Sr Advanced AI Data Engineer at Honeywell

Monterrey, Nuevo León, Mexico -

Full Time

Start Date

Immediate

Expiry Date

20 Aug, 26

Salary

0.0

Posted On

22 May, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Databricks, PySpark, Delta Lake, Unity Catalog, Medallion Architecture, Domain Data Modeling, Functional Data Architecture, Data Quality Frameworks, CI/CD, Python, SQL, GCP, Azure, Kafka, Data Pipeline Design, Observability

Industry

Automation Machinery Manufacturing

Description

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. 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.

Responsibilities

Design, develop, and maintain advanced data solutions and scalable pipelines to drive business insights. Collaborate with cross-functional teams to translate business requirements into technical architectures that improve operational efficiency.