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Advanced Data Engineer - Financial Systems Administrator

As an Advanced Data Engineer here at Honeywell, you will play a crucial role in designing, developing, and implementing data solutions to facilitate our data-driven initiatives. You will work with cross-functional teams to comprehend business requirements and translate them into scalable and efficient data pipelines. Your expertise in data engineering and analytics will contribute to the success of our data-driven decision-making and enable us to derive valuable insights from our data.

You will report directly to our Sr. Financial Systems Manager and you'll work out of our Charlotte, NC or Raleigh, NC location on a hybrid work schedule.

+ Hybrid Work Schedule Note: For the first 90 days, New Hires must be prepared to work 100% onsite M-F.

In this role, you will impact the organization by developing and maintaining data pipelines, optimizing data storage and retrieval, and ensuring data quality and integrity. You will work with data scientists, analysts, and other stakeholders to comprehend their data needs and provide them with the necessary infrastructure and tools to access and analyze data.

At Honeywell, our people play a critical role in developing and assisting 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.

KEY RESPONSIBILITIES

+ Approve and implement changes to applications: Metadata hierarchies (Chart of Accounts, Entities), custom dimensions, mapping tables, rules/scripting, security.

+ Validate data and controls within FDMEE / HFM processes.

+ Manage submission requirements and data flow of various reporting processes

+ Application / performance support jointly with lT function

+ Facilitate delivery of core financial statements, Qtr. schedules, FP&A reporting

+ Provide global end-user training, reference materials, and technical support

+ Manage audit & compliance deliverables, testing, walk-throughs

+ Design, develop, and maintain data pipelines to facilitate data-driven initiative

+ Optimize data storage and retrieval for efficient data processing and throughput

+ Ensure data quality and integrity through data validation and cleansing processes

+ Develop and implement data governance and security measures to protect sensitive data

+ Provide technical guidance and support to the team and other stakeholders

BENEFITS OF WORKING FOR HONEYWELL

In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. For more information visit: click here (https://benefits.honeywell.com/)

The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates.

YOU MUST HAVE

+ Bachelor’s degree from an accredited institution. A technical discipline such as computer science, data science, or Finance/ Accounting with Financial Systems Management experience.

+ 5 years of EPM Administration experience

+ Minimum of 5 years of experience in data engineering or related roles

+ Experience in data engineering tools and technologies such as SQL, Python, ETL frameworks, and data integration platform

+ Strong understanding of data modeling and database design principle

+ Excellent problem-solving and analytical skills

WE VALUE

+ Master's degree in a relevant field such as data engineering, computer science, or business with experience managing in financial systems.

+ Formal training and competency in EPM, HFM and FDMEE application administration

+ Dimensional database / data management in context of finance

+ Financial statement and Global consolidations command

+ Global process and customer approach

+ Excellent trouble-shooting capability

+ Understanding of lT for infrastructure, process, and development needs

+ ERP understanding

+ Capacity to work autonomously and proactively

+ Good communication and organizational skills

+ Grasp of FP&A business measurement

+ Knowledge of data governance and data security best practices

+ Familiarity with machine learning and data analytics techniques

+ Strong communication and collaboration skills

ABOUT HONEYWELL

Honeywell International Inc. (Nasdaq: HON) invents and commercializes technologies that address some of the world’s most critical demands around energy, safety, security, air travel, productivity, and global urbanization. We are a leading software-industrial company dedicated to introducing state-of-the-art technology solutions to improve efficiency, productivity, sustainability, and safety in high-growth businesses in broad-based, attractive industrial end markets. Our products and solutions enable a safer, more comfortable, and more productive world, enhancing the quality of life of people around the globe.

THE BUSINESS UNIT

The Corporate Strategic Business Group (CORP SBG) at Honeywell is a division focused on corporate-level functions and initiatives that support the overall operations and strategy of the company. It is responsible for overseeing areas such as finance, legal, human resources, communications, and corporate governance, working closely with other business units and SBGs to ensure alignment and coordination across the organization. The CORP SBG plays a crucial role in the overall strategic direction and management of Honeywell's corporate functions and operations, supporting the company's business objectives.

Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status.


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