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 AnalyticsCertifications 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 AlteryxExperience designing
data lake / lakehouse architectures and supporting batch and real-time pipelinesProficiency in
SQL and strong working knowledge of
Python (Pandas, NumPy, matplotlib)Good understanding of
data governance, security, and compliance frameworksExperience leading teams or workstreams in
client-facing consulting or global delivery environmentsStrong 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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