Senior Data Engineer

🕒 April 29

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

iFood

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

🛍️ eCommerce

eCommerce • Food Delivery • Technology

iFood is a leading food delivery platform based in Brazil, connecting customers with a wide array of restaurants and food options. The company leverages cutting-edge technology and artificial intelligence to improve customer experience, streamline operations, and enhance delivery logistics. iFood fosters a diverse and inclusive work environment, focusing on sustainability and the positive impact of its services on the community.

📋 Description

• Transform your career with iFood. • Build innovative solutions that connect restaurants to consumers.

🎯 Requirements

• Collaborate with team members to gather business requirements and design data models. • Build trust in all interactions and deliver the most complete, reliable, and accurate data to the company. • Design, develop, and extend ETL code and data pipelines to grow the Enterprise Data Lake. • Create and maintain architecture and system documentation. • Keep core datasets or data products up to date in the Data Catalog to support self-service analytics and a single source of truth. • Develop code that meets our internal standards for style, maintainability, and best practices for a high-scale data environment. Uphold and advocate for these standards through code reviews. • Approve changes to data models as a Data Team Reviewer and be responsible for specific datasets and data model schemas. • Share expertise in data modeling and transformations across iFood teams through code reviews, pairing, and training to help deliver optimized and scalable dataset or data product designs and queries on Databricks.

🏖️ Benefits

• Willingness to learn new things every day. • Proficiency with SQL, Python, and Spark. • Excellent communication: regularly reach consensus between technical and business teams. • Proven ability to clearly and concisely communicate complex business activities, technical requirements, and recommendations. • 2+ years in Data roles as an analyst, engineer, or equivalent. • 2+ years designing, implementing, operating, and extending enterprise data models (dimensional or otherwise). • 2+ years working with large-scale databases or data warehouses, preferably in a cloud environment. • Technical proficiency in English. • Nice to have: Experience with Databricks, Airflow, and AWS.