Senior Data Engineer

Sauce; Teletrabalho; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A leading restaurant technology platform based in Brazil is seeking a data engineer to build and optimize their data architecture using Azure Databricks. Responsibilities include managing data pipelines, ensuring data quality, and optimizing cluster resources. The ideal candidate has over 5 years of experience in data infrastructure, required proficiency in SQL and Python, and familiarity with cloud services like Azure and GCP. The position offers a flexible work environment and competitive compensation.

Serviços

Strong & Competitive Compensation Package

Flexible Work Environment

10 Paid Personal / Vacation Days

5 Paid Sick Days

Monthly Wellness Stipend

Qualificações

• 5+ years of experience in data pipelines and infrastructure.
• Familiar with data governance and CI/CD principles.
• Hands-on experience with data quality frameworks.

Responsabilidades

• Build and optimize data warehouse architecture using Azure Databricks.
• Manage cluster resources for performance and cost.
• Transform raw data and define schemas.

Conhecimentos

Data pipeline building

Data infrastructure

Data quality suites

SQL

Python

Git

Ferramentas

Databricks

GitHub

MongoDB

PostgreSQL

Azure

GCP

Descrição da oferta de emprego

Sauce is a premier restaurant technology platform that helps businesses grow with our Commission-Free Delivery & Pickup structure and proprietary delivery optimization technology.

We are serving a 105 billion dollar US local restaurant business.

Headquartered in NYC and Tel-Aviv, Sauce wants restaurants to fulfill their highest potential, this means giving local establishments everything they need to connect directly with their customers.

The Sauce team pools together decades of restaurant tech experience, along with seasoned tech, sales, marketing, product and operations executives who produce an industry-changing delivery system for successful local restaurants and chains.

What You’ll Do

• Build and optimize Sauce's lakehouse architecture using Azure Databricks and Unity Catalog for data governance
• Manage and optimize cluster resources to balance performance and cost
• Transform stage / raw layer data, define and manage data schemas, and add data quality tests
• Create and maintain data quality tests, improve existing alerting setups
• Develop reports / dashboards about data quality and consistency
• Improve existing CI / CD pipeline(s) using Databricks Asset Bundles and GitHub Actions / Workflows
• Own data warehouse - connecting data sources, and maintaining a platform and architecture in coordination with R&D infrastructure and operations teams

Must Have

• 5+ years of experience building data pipelines, data infrastructure, data quality suites, and alerting functionality
• Proficient in SQL, Python
• Proficient in Git

Experience with Databricks

• Familiar with data governance, implementing or managing Unity Catalog Understanding of CI / CD principles, with experience implementing Databricks Asset Bundles
• Hands-on experience with data quality suites / frameworks / tools
• Experience with document-based databases (MongoDB) as well as relational databases (PostgreSQL)

Nice to Have

• Experience with cloud infrastructure (Azure, GCP)
• Experience with web scraping or API integrations (HubSpot, Stripe, etc.)

Required Technology & Equipment

• Personal computer or laptop with up-to-date software
• High-speed internet connection
• Keyboard, mouse, working webcam, and headset with a microphone
• Primary 24" monitor (with an additional 24" monitor preferred)

What We Offer

• Strong & Competitive Compensation Package
• Flexible Work Environment
• 10 Paid Personal / Vacation Days
• 5 Paid Sick Days
• Monthly Wellness Stipend

Sauce is an equal opportunity workplace and an affirmative action employer.

We welcome all qualified applicants regardless of race, color, ancestry, religion, sex (including pregnancy and related conditions), national origin, sexual orientation, age, marital status, disability (physical or mental), gender identity, gender expression, genetic information, veteran status, citizenship, immigration status, or any other classification, category or characteristic protected by applicable federal, state or local laws.

We understand the importance of creating a more diverse and inclusive workplace and celebrate our employees for their differences.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses.

These tools assist our recruitment team but do not replace human judgment.

Final hiring decisions are ultimately made by humans.

If you would like more information about how your data is processed, please contact us.