Data Engineer: Enterprise Pipelines & Snowflake Expert

FIS Management Services LLC

Atlanta (GA)

Presencial

USD 120 000 - 160 000

Tempo integral

Há 3 dias
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Currículo e carta de apresentação personalizados, prontos a enviar.

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Resumo da oferta

FIS is seeking a senior data platform engineer to lead the engineering and operational delivery of enterprise data integration solutions that move Capital Markets data into Snowflake. You will own onboarding, replication configuration, data validation and production readiness while collaborating with global teams.

The role requires hands-on experience with Qlik Replicate, Snowflake, and modern data engineering practices, including CDC, ETL/ELT patterns, data quality, and security controls.

Qualificações

  • Strong experience designing, building and supporting enterprise data integration solutions.
  • Practical knowledge of Qlik Replicate and Qlik Enterprise Manager, including full-load, CDC, task configuration, troubleshooting and upgrades.
  • Hands-on Snowflake experience with data loading, SQL development, warehouse management and security concepts.

Responsabilidades

  • Lead engineering and operational delivery of enterprise data integration solutions.
  • Coordinate onboarding and incident resolution across distributed teams.
  • Design, build and optimize data pipelines to ingest/transform data into Snowflake.
  • Plan platform upgrades, runbooks and automation with cross-functional teams.

Conhecimentos

Qlik Replicate
Snowflake
ETL/ELT pipelines
SQL
Python
Data integration
production ownership

Ferramentas

Qlik Enterprise Manager

Descrição da oferta de emprego

FIS is seeking a senior data platform engineer to lead the engineering and operational delivery of enterprise data integration solutions that move Capital Markets data into Snowflake. You will own onboarding, replication configuration, data validation and production readiness while collaborating with global teams.

The role requires hands-on experience with Qlik Replicate, Snowflake, and modern data engineering practices, including CDC, ETL/ELT patterns, data quality, and security controls.

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