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Résumé du poste
A leading technology consulting firm is seeking a Data Engineering Consultant to deliver cutting-edge data platforms for global clients. The ideal candidate will have over 9 years of experience in data engineering with hands-on expertise in Snowflake, Databricks, and ETL tools like Fivetran and Alteryx. Proficiency in cloud platforms (AWS, Azure, GCP) is essential. This remote role offers an opportunity to lead innovative analytics initiatives while collaborating closely with business stakeholders.
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 are preferred.
5+ years experience working with AWS, Azure, or GCP.
Strong experience with ETL/ELT tools, including Fivetran and Alteryx.
Experience designing data lake architectures and supporting batch and real-time pipelines.
Responsabilités
Lead and deliver modern data platforms and analytics initiatives for global clients.
Engage business and technical stakeholders to design scalable, secure, and high-performance data solutions.
Design data lake/lakehouse architectures.
Connaissances
Data engineering
Snowflake
Databricks
ETL/ELT tools
Cloud platforms (AWS, Azure, GCP)
SQL proficiency
Python
Data governance knowledge
Team leadership
Strong communication skills
Formation
MBA or Bachelor's degree in Engineering, Data Science, Information Systems, Mathematics
Outils
Fivetran
Alteryx
Power BI
Tableau
Description du poste
A leading technology consulting firm is seeking a Data Engineering Consultant to deliver cutting-edge data platforms for global clients. The ideal candidate will have over 9 years of experience in data engineering with hands-on expertise in Snowflake, Databricks, and ETL tools like Fivetran and Alteryx. Proficiency in cloud platforms (AWS, Azure, GCP) is essential. This remote role offers an opportunity to lead innovative analytics initiatives while collaborating closely with business stakeholders.
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