Advanced Data Engineer

Advanced Data Engineer

1-4 years
Not Specified

Job Description

Join a team recognized for leadership, innovation and diversity

The future is what you make it. When you join Honeywell, you become a member of our global team of thinkers, innovators, dreamers and doers who make the things that make the future. That means changing the way we fly, fueling jets in an eco-friendly way, keeping buildings smart and safe and even making it possible to breathe on Mars. Working at Honeywell isn't just about developing cool things. That's why all of our employees enjoy access to dynamic career opportunities across different fields and industries. Are you ready to help us make the future
Join a company that is transforming from a traditional industrial company to a contemporary digital industrial business, harnessing the power of cloud, big data, analytics, Internet of Things, AI/ML (Machine Learning), Automation and design thinking. You will support change that brings value to our customers, partners, and shareholders through the creation of innovative software and data-driven products and services. You will help engineer contemporary applications and services, constructing solutions that remain scalable, adaptable and replicable. You will be part of transforming Honeywell's IT organization through the delivery of technology products that will directly impact the company's growth.
You will be part of the Automation and Cognitive Services Technology group and in this role, you will work on the design and implementation of state-of-the-art Machine Learning/Deep Learning and AI Cognitive Services enhanced business use cases. This Data Engineer role will work with the Automation Delivery team, IT business partners, Functional consultants, and infrastructure/technology teams to meet customer requirements. You will focus primarily on the end-to-end delivery of ML/AI use cases from pilot/design to release, driving the evolution of ML/AI infrastructure/process, and enabling Cognitive Automation, AI ChatBot, etc.
Key Responsibilities:
Develop and maintain scalable data pipelines, infrastructure, API integrations to support transfer of business data from various sources as well as continuing increases in data volume and complexity.
Design, construct, test and maintain the architectures, databases and large-scale data management systems for preparing and feeding datasets for analysis, transformation and modeling.
Collaborate with analytics and business teams to improve data assets/models that feed AI-based processes, increase data accessibility and fostering data-driven decision making / automation.
Implement processes and measures to monitor the data quality and ensure the availability/usability of production data that the AI-based solutions rely on.
Work in a startup-type environment to design and build innovative applications using Automation, Machine Learning/Cognitive Service, business / functional proofs-of-concepts to scalable, production ready solutions across a strategic business group
Actively lead, analyze and recommend highly complex business opportunities, through assessments/workshops, detailed data analysis/modeling and overall end-end solutioning to propose predictive, AI Driven solutions that drive the most business value with sustained impact.
Research, actively experiment to stay abreast of the emerging data framework, ML and Cognitive Automation trends
Work within project planning constraints, communicating any identified project risks and issues to the delivery/project manager and provide inputs to the change control process
Help develop standard operation practices and support the Operations Teams through UAT and after go-live .
Work closely with the operations team to change, optimize existing Automation and AI/ML processes and help build effective data pipeline monitoring, alert and notification framework to proactively identify problems/issues before business impact
Partner and effectively communicate with Non-IT / Business users, functional counterparts and stakeholders to understand the underlying business problem, and work with the extended team to define and communicate the right technical solution
  • Bachelors in Computer Science, Data Science or Engineering fields
  • 5 plus years of IT experience in data engineering / software development / solution architect for large corporate/organizations
  • 3 plus years of experience in building and deploying Data Pipelines, ETL and Enterprise scalable architectures for Machine Learning solutions
  • 3 plus years of hands-on experience with Python, R, Scala, Java, SQL, and various data warehousing/streaming/engineering tools such as Hadoop, Hive, Apache Spark, NiFi, Airflow, Paxata, Kafka, etc.
  • 2 plus years experience in building IT use cases / solutions especially around AI/ML cognitive services, based on Cloud infrastructure and services such as AWS and/or Azure cloud platforms.

  • Master's Degree in Computer Science, Data Science or Engineering fields
  • Work experience / education in data science, data engineering and analytics
  • Good understanding of Machine Learning techniques and algorithms.
  • Proven experience with Azure Databricks, Informatica, Redshift.
  • Development experience in RPA Tools & Platform & Implementations: Examples - UiPath, Automation Anywhere and other leading RPA platform vendors
  • Experience with building and deploying AI Conversational Agent (Chatbot)
  • 1 plus years experience in Web Service/Restful API Integration, and/or full stack application development.
  • Experience in ERP platform integration, preferably with SAP
  • Working Experience in an Agile/Scrum/Scaled Agile and DevOps based team environment
  • Certifications AI / ML and Cloud platforms
  • Great communication skills

About Honeywell

Honeywell International Inc. is an American publicly traded, multinational conglomerate corporation headquartered in Charlotte, North Carolina. It primarily operates in four areas of business: aerospace, building technologies, performance materials and technologies (PMT), and safety and productivity solutions (SPS).
Honeywell is a Fortune 100 company, ranked 94th in 2021. The corporation in 2020 had a global workforce of approximately 103,000 employees, down from 113,000 in 2019. The current chairman and chief executive officer (CEO) is Darius Adamczyk.
The corporation's current name, Honeywell International Inc., is a product of the merger of Honeywell Inc. and AlliedSignal in 1999. The corporation headquarters were consolidated with AlliedSignal's headquarters in Morristown, New Jersey; however, the combined company chose the name 'Honeywell' because of the considerable brand recognition.[8] Honeywell was a component of the Dow Jones Industrial Average index from 1999 to 2008. Prior to 1999, its corporate predecessors were included dating back to 1925, including early entrants in the computing and thermostat industries.

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