Sr Advanced Data Engineer

Honeywell
Monterrey
Full timeFunction: Data Analytics & Business IntelligenceEducation: bachelorsSkills: ["Problem-solving","Attention to detail"]

Design, develop, and maintain scalable data pipelines, data models, and integrations to enable data-driven business decision-making. Build and optimize ETL processes, improve data storage, and ensure data quality through validation and cleansing. Partner with cross-functional teams to translate requirements into technical solutions, optimize performance and efficiency, and stay current with emerging data engineering technologies and best practices to drive continuous improvement.

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FursaFursa
Honeywell
Honeywell
4 days ago

Sr Advanced Data Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 21 hours agoStatus: Live

Job Summary

Design, develop, and maintain scalable data pipelines, data models, and integrations to enable data-driven business decision-making. Build and optimize ETL processes, improve data storage, and ensure data quality through validation and cleansing. Partner with cross-functional teams to translate requirements into technical solutions, optimize performance and efficiency, and stay current with emerging data engineering technologies and best practices to drive continuous improvement.
Location: Monterrey
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Design and develop scalable, efficient data pipelines, data models, and data integration processes.
  • •Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs.
  • •Ensure data quality and integrity using 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.

Pay and Benefits

Perks:Relocation

Key Requirements

  • •Bachelor’s degree in a technical discipline (science, technology, engineering, or mathematics).
  • •Proven experience in data engineering.
  • •Proficiency in data engineering tools and programming languages such as Python and SQL.
  • •Experience with data pipeline and ETL processes.
  • •Strong problem-solving skills and attention to detail.
Experience:Big dataCloud data platforms
Education:Bachelor's
Skills:Problem-solvingAttention to detail
Tech Stack:PythonSQLETLData pipelinesData modelsAWSAzureGoogle CloudHadoopSparkData storageData validationData cleansing

Company Brief

Honeywell
Global diversified technology and manufacturing company providing aerospace systems, building technologies, performance materials, and safety & productivity solutions for industrial, commercial, and consumer markets.
Industry: Conglomerates & Holding Companies
Company Size: Enterprise (1,001+ employees)
Revenue: USD 25B to 50B
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Charlotte, United States
Founded: 1906
Glassdoor
Glassdoor: 3.8
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