Senior Data Engineer

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Develop and maintain data pipelines capable of managing the volume and complexity of data while ensuring scalability, accuracy, availability, observability, security, and optimal performance.

• Create and sustain data warehouse tables, views, and models for use by analysts and downstream applications.

• Take ownership and lead workstreams, driving results either independently or through your team.

• Engage in regular data engineering tasks, such as monthly insights reporting and data profile updates.

• Resolve production issues and participate in on-call support activities.

• Identify opportunities for enhancing data engineering processes and share insights with the team.

• Continuously contribute to the development of our data platform, which encompasses data pipelines and data warehouse layers.

• Independently manage and lead workstreams, whether related to routine data engineering tasks or roadmap support activities.

• Enhance your understanding and develop subject matter expertise within our data and ecosystem.

• Your contributions have significantly advanced our implementation of the data platform strategy and key initiatives that support the company's growth.

• You have established yourself as a vital team member with expertise in data engineering.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related discipline.

• Over 6 years of experience in data engineering.

• Proven experience in building and maintaining large-scale data pipelines for both streaming and batch processing.

• A software engineering mindset, adhering to principles of source control, infrastructure as code, testing, modularity, automation, CI/CD, and observability.

• Proficient in Python, SQL, Snowflake, Postgres, DBT, Airflow, Docker, Kubernetes, and Kafka.

• Experience with Google Analytics, marketing, advertising and social media platforms, CRM/Salesforce, and JSON data; familiarity with government datasets and geo-spatial data is a plus.

• Understanding of the modern data platform and its essential components, including ingestion, transformation, curation, quality, governance, and delivery.

• Knowledge of data modeling techniques such as 3NF, Dimensional, and Vault.

• Self-motivated, analytical problem solver with keen attention to detail, strong communication skills, and a passion for thorough documentation.

• Familiarity with Agile product management principles is an advantage.

🏝️ Benefits

• Flexible work arrangements.

• Remote work options.