Senior Data Engineer: SQL & Snowflake Migration (Remote)

Capgemini

Aguascalientes

Remote

MXN 600,000 - 900,000

Full time

2 days ago
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Job summary

Capgemini Mexico is seeking a senior data engineer to lead analysis, troubleshooting, and modernization of enterprise data pipelines built on SQL Server and SSIS. You will migrate workloads to Snowflake or Hive and drive architectural decisions with minimal supervision.

You will collaborate with data architects, business stakeholders, and engineering teams to map current data flows to scalable, future-state solutions, troubleshoot complex end-to-end workflows, and mentor junior engineers in a

Qualifications

  • 5+ years of experience designing, developing, and supporting enterprise-scale data solutions.
  • Expert-level SQL skills, including complex query development, performance tuning, data analysis, troubleshooting, and optimization of large-volume transactional and analytical datasets.
  • Hands-on experience with SQL Server and SSIS in production environments.
  • Experience migrating legacy data ecosystems to Snowflake and Hive with independent technical leadership.
  • Fluent English.

Responsibilities

  • Lead analysis, troubleshooting, and modernization of complex legacy data pipelines built on SQL Server and SSIS.
  • Migrate enterprise data workloads to Snowflake or Hive and make key technical decisions with minimal supervision.
  • Collaborate with data architects, business stakeholders, and engineering teams to map data flows to scalable future-state solutions.
  • Deep dive into large undocumented data ecosystems, using advanced SQL to identify issues, optimize performance, and resolve challenges.
  • Mentor engineers and drive project delivery in a fast-paced environment.

Skills

SQL Server
SSIS
ETL development
Data integration
Snowflake
Hive
Advanced SQL
Performance tuning
Troubleshooting
English communication

Tools

SQL Server
SSIS
Snowflake
Hive

Job description

Capgemini Mexico is seeking a senior data engineer to lead analysis, troubleshooting, and modernization of enterprise data pipelines built on SQL Server and SSIS. You will migrate workloads to Snowflake or Hive and drive architectural decisions with minimal supervision.

You will collaborate with data architects, business stakeholders, and engineering teams to map current data flows to scalable, future-state solutions, troubleshoot complex end-to-end workflows, and mentor junior engineers in a

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