Sr. Analytics Engineer

Embeda

Costa Rica, Costa Rica
Fully remote
Production data platforms management
Sql proficiency
Cloud data warehouses (e.g., snowflake)
The Enterprise Data and Analytics team aims to transform and optimize the creation and sharing of trusted data to drive actionable insights and innovation across the enterprise

Job Summary

  • The Enterprise Data and Analytics team aims to transform and optimize the creation and sharing of trusted data to drive actionable insights and innovation across the enterprise.
  • The Senior Analytics Engineer will standardize data onboarding, transformation, validation, and monitoring to ensure robust, well-governed data products.
  • Workday offers a flexible work approach combining in-person and remote time, fostering strong community connections and enabling employees to create schedules that suit their needs.

Matching Summary

The Enterprise Data and Analytics team aims to transform and optimize the creation and sharing of trusted data to drive actionable insights and innovation across the enterprise.

Skills & Requirements

Must-have

  • Production data platforms management
  • SQL proficiency
  • Cloud data warehouses (e.g., Snowflake)
  • Python for data manipulation and automation
  • Data ingestion tools (e.g., Fivetran, Airbyte)
  • DataOps/DevOps principles for data
  • Modern data stack orchestration (dbt, Airflow, GitHub)

Nice-to-have

  • Data governance and catalog tools (Atlan, Collibra)
  • Data quality and observability solutions
  • Data security best practices implementation
  • Agile methodologies experience
  • Workflow and project management tools (Jira, ServiceNow)
  • Collaborative problem-solving skills
  • Process-driven and hands-on engineering

Key Requirements

  • 6–8+ years data engineering experience
  • Hands-on production data platform responsibility
  • Strong SQL skills
  • Proficiency with modern cloud data warehouses
  • Python programming for data tasks
  • Experience with data ingestion tools
  • Understanding of DataOps/DevOps for data
  • Experience with data stack components integration

Work Rights

Not specified

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