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Data Engineer Cloud Computing Data Analyst Big Data

Cloud Data Engineer

Job in New York, New York County, New York, 10261, USA
Listing for: Onix
Full Time, Seasonal/Temporary position
Listed on 2025-12-02
Job specializations:
  • IT/Tech
    Data Engineer, Cloud Computing, Data Analyst, Big Data
Job Description & How to Apply Below
Location: New York

Join to apply for the Cloud Data Engineer role at Onix

About Us
Onix Datametica is a Google Cloud Premier Partner serving over 1,400 customers, including several of the world’s largest corporations. We enable clients to leverage Google Cloud Platform across various industries and use cases. Our expertise includes Google Cloud Solutions such as Workload Migrations, Data & Analytics, Data Infrastructure and Visualization, Infrastructure Services, Collaboration & Productivity, and Location-based Services. We are a 12-time ‘Google Partner of the Year’ award winner and a Google Cloud Managed Services Partner.

We are a global leader in Data Warehouse Migration and Modernization to the Cloud, empowering businesses to migrate their Data/Workload/ETL/Analytics using automation. Our proprietary products include Eagle (Data warehouse Assessment & Migration Planning), Raven (Automated Workload Conversion), and Pelican (Automated Data Validation).

Summary
Onix Datametica seeks a Data Engineer for its Cloud and Big Data projects within Data Warehousing and Data Analytics domains.

Role: Data Engineer

Location: New York/New Jersey/Charlotte, NC/Dallas, TX

Experience: 8+ Years

Responsibilities
  • Develop data-driven solutions using Cloud-based technologies to meet evolving business needs, delivering scalable and high-performance data solutions to clients in US, UK, Canada, and India.
  • Design and develop ETL/ELT applications interfacing with customer applications.
  • Lead and implement data-driven solutions, collaborating with larger development teams.
  • Develop test strategies, plans, and cases for cloud-based solutions.
    • Required

    Skills and Abilities
  • 8+ years of proven experience in data platform and big data engineering.
  • Hands-on experience with SQL; familiarity with GCP native SQL (Big Query) is essential.
  • Proficiency in Python; experience with Jupyter notebooks is a plus.
  • Deep experience with Google Data Products (Big Query, Dataflow, Cloud Composer, GCS, etc.).
  • Willingness to learn and share knowledge.
  • Ability to collaborate with stakeholders and project leaders.
  • Ability to work in a fast-paced, changing environment.
  • Experience translating requirements into solutions using Python and SQL (Big Query).
  • Experience working in agile teams.
  • Excellent communication, presentation, and professional speaking skills.
  • Strong problem-solving skills and attention to detail.

    • Education:

    Bachelor's Degree or equivalent experience required.

    Travel:
    Up to 10%.

    Note:

    Employment is in the US/Canada only; sponsorship is not provided; candidates must be authorized to work.

    Additional Details
    • Seniority level:
      Mid-Senior level
    • Employment type:

      Full-time
    • Job function:
      Information Technology
    • Industries: IT Services and IT Consulting
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