Job Description
Seeking to hire a Contractor based out of Mexico or Argentina for Lead Analytics Engineering Data Team
- We are looking for a Lead Analytics Engineer to join our data team.
- Reporting to the Hiring Manager, you will be responsible for applying data 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 provide expert code reviews and mentorship to other engineers in the data space
- You will be responsible for building and maintaining composable data models, 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.
Why you’re a great fit:
- 8+ Years experience working with data in a software environment.
- Required Skills: 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 and proactively, with deep domain knowledge of data systems.
- Required 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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