<p>Seeking to hire a Contractor based out of Mexico or Argentina for Lead Analytics Engineering Data Team</p> <ul> <li>We are looking for a Lead Analytics Engineer to join our data team.</li> <li>Reporting to the Hiring Manager, you will be responsible for applying data engineering best practices to analytics code to transform, test, and document data.</li> <li>You will provide clean and organized data sets to end users.</li> <li>You will be provide expert code reviews and mentorship to other engineers in the data space</li> <li>You will be responsible for building and maintaining composable data models, as well as optimizing SQL query performance for the models you build.</li> <li>You will transform raw data into business insights, working closely with stakeholders and developing analyses to answer critical business questions.</li> <li>You will create data visualizations and help stakeholders explore and understand the data visualization tools available to them.</li> </ul> <p><strong>Why you'll love this role:Data Modeling and Transformation</strong></p> <ul> <ul> <li>Build new analyses and support existing ones using SQL and Python.</li> <li>Apply software engineering principles like version control and continuous integration to the analytics codebase.</li> <li>Expand our data warehouse with clean data ready for analysis.</li> </ul> </ul> <p><strong>Data Quality and Testing</strong></p> <ul> <ul> <li>Apply advanced data testing strategies to ensure resulting datastores are aligned with expected business logic.</li> <li>Implement validation checks and automated testing procedures to manage data quality in your ETL/ELT pipelines.</li> </ul> </ul> <p><strong>Collaboration and Communication</strong></p> <ul> <ul> <li>Work with stakeholders to define business logic and data expectations.</li> <li>Help drive a change in the usage of data by actively surfacing insights to stakeholders.</li> <li>Lead initiatives and problem definition, scoping, design, and planning.</li> </ul> </ul> <p><strong>Infrastructure and Automation</strong></p> <ul> <ul> <li>Build tools and automation to run data infrastructure.</li> <li>Manage large-scale data migrations in relational datastores.</li> </ul> </ul> <p><strong>Why you're a great fit:</strong></p> <ul> <li>8+ Years experience working with data in a software environment.&nbsp;</li> <li>Required Skills: Mastered proficiency in SQL and Python; advanced experience managing business semantic layer tooling, data catalog tooling and&nbsp; data integrity testing frameworks. Experience with dbt orchestration and best practices.</li> <li>You have a track record of working autonomously and proactively, with deep domain knowledge of data systems.</li> <li>Required Tech Stack: SQL, Python, relational datastores, DAG tooling (like Dagster or Airflow), dbt and Tableau.</li> <li>Experience with cloud-based infrastructure (AWS, GCP, Terraform) and document, graph, or schema-less datastores.</li> </ul> <p><em><strong>Please note that given the nature of the contract, this role will not be eligible to participate in company-sponsored benefits.&nbsp;</strong></em></p> <p>&nbsp;</p> <p>#LI-Remote</p>