Contractor: Lead Analytics Engineer - Data Team

Voiceflow; Teletrabalho; BRL 150.000 - 200.000; Tempo integral

Resumo da oferta

A data-driven technology company is seeking a Lead Analytics Engineer to enhance their data team. Responsibilities include transforming raw data into insights, building composable data models, and providing mentorship to engineers. The ideal candidate will have over 8 years of experience and mastery of SQL and Python. This role focuses on using data to answer critical business questions and improving data quality. Since it's a contract position, company-sponsored benefits are not available.

Qualificações

• 8+ years experience working with data in a software environment.
• Mastered proficiency in SQL and Python.
• Advanced experience managing business semantic layer tooling.

Responsabilidades

• Transform raw data into business insights.
• Build and maintain composable data models.
• Provide expert code reviews and mentorship.

Conhecimentos

Proficiency in SQL

Proficiency in Python

Data integrity testing frameworks

Cloud-based infrastructure knowledge (AWS, GCP)

Experience with DAG tooling

Ferramentas

dbt

Tableau

Descrição da oferta de emprego

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 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.