Data Engineering Consultant

 Posted an hour ago
  
 Worldwide
  
10+ years experience
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AI Summary

Lead the design and delivery of modern data platforms and analytics initiatives for global clients. The role involves blending hands-on data engineering with solution architecture and client advisory to create scalable, high-performance data solutions.

This is a remote position.

We are seeking a Data Engineering Consultant with 9+ years of experience in designing and delivering modern data platforms for global clients. The role requires strong hands-on expertise in Snowflake, Databricks, and ETL/ELT tools such as Fivetran and Alteryx, along with experience on cloud platforms (AWS, Azure, or GCP).   
Role Overview
We are seeking a
 Data Engineering Consultant to lead and deliver modern data platforms and analytics initiatives for global clients. This role blends hands-on data engineering, solution architecture, and client advisory responsibilities, working closely with business and technical stakeholders to design scalable, secure, and high-performance data solutions.


Requirements

  • 9+ years of experience in data engineering, data architecture, or analytics consulting roles
    5+ years of hands-on experience implementing Snowflake, Databricks, Amazon Redshift, or Azure Synapse Analytics
    Certifications in Snowflake, Alteryx, Power BI, or Tableau – Preferred
    SnowPro Advanced Certification – Highly Preferred
    5+ years of experience working with cloud platforms (AWS, Azure, or GCP)
    Strong experience with
     ETL/ELT tools, including Fivetran and Alteryx
    Experience designing data lake / lakehouse architectures and supporting batch and real-time pipelines
    Proficiency in
     SQL and strong working knowledge of Python (Pandas, NumPy, matplotlib)
    Good understanding of
     data governance, security, and compliance frameworks
    Experience leading teams or workstreams in client-facing consulting or global delivery environments
    Strong communication skills with the ability to engage business and executive stakeholders.
    Education:
    MBA or Bachelor’s degree or higher in Engineering, Data Science, Information Systems, Mathematics



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