Job Description & How to Apply Below
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.
Required Qualifications:
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
Snow Pro 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, Num Py, matplotlib)
Good understanding of data governance, security, and compliance frameworks
Experience leading teams or work streams 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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