Snowflake Data Engineer- Consultant

About this role

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Skills you'll use

What you'll do

• As a Snowflake Data Engineer, you will design, build, and operate enterprise-grade data platforms on Snowflake. You will develop secure, governed, and cost-efficient data pipelines and models; enable analytics and AI/ML use cases using Snowflake core services and Snowflake Cortex AI; and partner with business stakeholders to deliver reliable, high-performance data capabilities. The role spans ingestion, transformation, data architecture, performance tuning, security, and observability—anchored in Python, SQL, and agentic development patterns.

Who can apply

• Mandatory Skills
• Bachelor’s degree in computer science, Data Science, engineering, mathematics, information systems, or a related technical discipline
• 5+ years of relevant experience in data engineering roles
• Detailed knowledge of data warehouse technical architectures, data modelling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding
• Proficient in at least one or more programming languages: Java, Python, Ruby, Scala
• Experienced with AWS services such as Redshift, S3, EC2, Lambda, Athena, EMR, AWS Glue, Datapipeline.
• Exposure to data visualization and reporting with tools such as Amazon QuickSight, Metabase, Tableau, or similar software
• Experience building metrics deck and dashboards for KPIs including the underlying data models.
• Understand how to design, implement, and maintain a platform providing secured access to large datasets
• Primary Roles and Responsibilities

About KPMG Global Services

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