Lead Data Engineer

Honeywell

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profile Job Location:

Atlanta, GA - USA

profile Monthly Salary: Not Disclosed
Posted on: 16 days ago
Vacancies: 1 Vacancy

Job Summary

Description

The Data Engineer will be responsible for developing and implementing data-driven solutions and products that optimize operations enhance efficiency and drive growth for Honeywells Industrial customers. This role focuses on building AI data products using IoT data handling large-scale streaming and telemetry data and deploying data pipelines for AI products.

Scope: The role involves collaborating with stakeholders data scientists and product teams to create data products that serve analytics solutions and AI/ML needs. It includes implementing data models data pipelines which integrates diverse data sources and building analytic solutions leveraging AI

Challenges: The Data Engineer will face challenges such as managing and processing huge volumes of streaming data ensuring data quality and implementing efficient solutions while working in a fast-paced environment with ambiguous requirements.

Opportunities: This role offers the opportunity to work on cutting-edge AI projects leveraging best in class data platforms develop innovative data products that transform of industrial operations. Professional Growth opportunity whileworking alongside a global team of data engineers and ML experts to drive manufacturing innovation and operational excellence.

Joining Honeywells data engineering team means being part of a high-performing global team that delivers innovative AI/ML data products for industrial customers. You will have the opportunity to work on challenging projects leverage the latest AI technologies and make a significant impact on optimizing operations and driving growth for our customers. The role offers professional growth collaboration with experts and the chance to be at the forefront of AI-driven industrial solutions.



Responsibilities

Key Responsibilities

  • Lead the design development and implementation of data engineering solutions
  • Collaborate with cross-functional teams to understand data requirements and deliver solutions
  • Design and implement data pipelines and ETL processes
  • Ensure the performance availability and security of data platforms


Qualifications

US PERSON REQUIREMENTS:

Due to compliance with US export control laws and regulations candidate must be a US Person which is defined as a US citizen US permanent resident or have protected status In the US under asylum or refugee status or have the ability to obtain an export authorization.

Required Competencies:

  • Strong experience in data engineering concepts like CDC ELT/ETL workflows streaming replication and data quality frameworks
  • Expertise in data modeling (dimensional data vault) modern data lake architectures (medallion delta) and practical experience with schema evolution strategies
  • Past experience handling high-volume IoT/telemetry data streams using technologies like Apache Kafka Azure Event Hubs or similar.
  • Proficiency in programming languages such as Scala or PySpark and Python.
  • Experience in building and deploying data pipelines for AI products.
  • Familiarity with cloud platforms like Databricks and Azure/GCP

Work Experience:

  • 5 years of data engineering experience.
  • 2 years of experience in programming with Scala or PySpark.
  • 2 years of experience in analyzing and modeling large-scale datasets.

Preferred Competencies:

  • Experience with complex SQL queries and large-scale data analytics solutions.
  • Knowledge of Agile and Scrum methodologies.
  • Expertise in version control systems and CI/CD methodologies.
  • Working knowledge of NoSQL/Graph systems and containerization technologies like Docker and Kubernetes.
  • Familiarity with GenAI and ML concepts.


DescriptionThe Data Engineer will be responsible for developing and implementing data-driven solutions and products that optimize operations enhance efficiency and drive growth for Honeywells Industrial customers. This role focuses on building AI data products using IoT data handling large-scale str...
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Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala

About Company

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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 ... View more

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