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Job Description

Capgemini is hiring a hands-on Data Engineer (Snowflake) for an onsite contract role in Miami, FL, United States. If you enjoy building reliable, secure enterprise data products, this position combines development, optimization, and production support work on the Snowflake platform.

Compensation: USD 39–61 per hour. Experience: 5+ years required.

Benefits: medical, dental, vision, and retirement benefits.

What you’ll do

  • Design and develop data pipelines on Snowflake using SQL, Python, dbt, and Matillion.
  • Build and maintain ELT/ETL frameworks and data integrations to support enterprise data flows.
  • Optimize Snowflake for performance, scalability, and cost efficiency.
  • Implement data quality, monitoring, and automation capabilities to improve reliability.
  • Support production incidents, including troubleshooting and root cause analysis.
  • Collaborate with Architecture, Analytics, Platform Engineering, and Business teams.
  • Adhere to SDLC, governance, security, and compliance standards.

What you bring

  • 5+ years of Data Engineering experience.
  • Strong expertise in Snowflake, including SQL and query optimization.
  • Proficiency with Python, dbt, and Matillion.
  • Experience with data modeling and data warehousing.
  • Hands-on experience with GitHub, CI/CD, and production support.
  • Strong problem-solving and analytical skills.

Technologies you may work with

  • Snowflake, SQL, Python, dbt, Matillion
  • ELT/ETL, GitHub, CI/CD
  • AWS, Salesforce, Fivetran, Striim, Control-M, Snowflake Cortex

Preferred qualifications

  • SnowPro Certification.
  • Experience with Fivetran, Striim, Control-M, AWS, or Salesforce integrations.
  • Exposure to Snowflake Cortex, AI/ML enablement, and automation frameworks.

How you’ll succeed

  • Ownership and accountability in delivering and supporting data solutions.
  • Automation and continuous improvement mindset.
  • Excellent troubleshooting and RCA skills for production reliability.
  • Effective stakeholder communication and collaboration across teams.

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