Job Description
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.
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
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
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
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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