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Contractor: Senior Analytics Engineer Services

Remote - Argentina; Brazil; Mexico

Seeking to hire a Contractor based out of Mexico or Argentina for Senior-Level Data Engineering Services.

Scope of Services:

  • We are looking for a Contract Analytics Engineer to join our data team.
  • As a contractor, you will be responsible for applying software engineering best practices to analytics code to transform, test, and document data.
  • You will provide clean and organized data sets to end users.
  • You will be responsible for building and maintaining data pipelines, as well as optimizing SQL query performance for the models you build.
  • You will transform raw data into business insights, working closely with stakeholders and developing analyses to answer critical business questions.
  • You will create data visualizations and help stakeholders explore and understand the data visualization tools available to them.

Why you'll love this role:

  • Data Modeling and Transformation
    • Build new analyses and support existing ones using SQL and Python.
    • Apply software engineering principles like version control and continuous integration to the analytics codebase.
    • Expand our data warehouse with clean data ready for analysis.
  • Data Quality and Testing
    • Apply advanced data testing strategies to ensure resulting datastores are aligned with expected business logic.
    • Implement validation checks and automated testing procedures to manage data quality in your ETL/ELT pipelines.
  • Collaboration and Communication
    • Work with stakeholders to define business logic and data expectations.
    • Help drive a change in the usage of data by actively surfacing insights to stakeholders.
    • Lead initiatives and problem definition, scoping, design, and planning.
  • Infrastructure and Automation
    • Build tools and automation to run data infrastructure.
    • Manage large-scale data migrations in relational datastores.

Skills & Experience:

  • 6+ Years experience working with data in a software environment. 
  • Mastered proficiency in SQL and Python
  • Advanced experience managing business semantic layer tooling, data catalog tooling and  data integrity testing frameworks.
  • Experience with dbt orchestration and best practices.
  • You have a track record of working autonomously, with deep domain knowledge of data systems.
  • Tech Stack: SQL, Python, relational datastores, DAG tooling (like Dagster or Airflow), dbt and Tableau.
  • Experience with cloud-based infrastructure (AWS, GCP, Terraform) and document, graph, or schema-less datastores.

Please note that given the nature of the contract, this role will not be eligible to participate in company-sponsored benefits. 

 

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