Description:

The position is for a Contractor based out of Brazil or Argentina for Lead-Level Data Reporting Engineering Services.
As a Contractor, you will translate product data requests into insightful customer reporting metrics.
You will communicate with app developers and data stakeholders regarding data system changes and data inquiries.
You will lead initiatives, define problems, and provide scoping to break down work for the team.
You will communicate with frontend engineers to create data visualizations.
You will lead and work alongside customer-facing business intelligence, reporting, and data visualization teams.
You will conduct root-cause analyses relating to queries about data irregularities and product metric definition requests.

Requirements:

You must have mastered proficiency in SQL, Python, and relational datastores.
Experience with columnar relational databases is a plus.
You should have advanced experience in optimizing SQL query performance.
You must have experience leading and working on customer-facing business intelligence, reporting, and data visualization teams.
Experience with maintaining custom, in-house tooling is a plus.
You should possess a strong ability to conduct root-cause analyses relating to queries about data irregularities and product metric definition requests.
Experience with data testing strategies to ensure transformations and metrics are aligned with expected business logic is required.
You should have experience with DBT orchestration and best practices.
Experience with Python web frameworks such as Fast API or Flask is necessary.
You must have experience with enabling application monitoring and health checks for systems within the team’s domain.
Experience with data pipelines and DAG tooling (such as Dagster or Airflow) is a plus.
Experience with event-based pipelines and CDC tooling is also a plus.

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