Senior Data Engineer

Posted 2024-11-22

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💎 Seniority level: Senior, 5+ years

📍 Location: Ontario

🔍 Industry: Customer engagement platform

🏢 Company: Braze

⏳ Experience: 5+ years

🪄 Skills: SQLBusiness IntelligenceETLSnowflakeData engineeringCollaborationCompliance

Requirements:

5+ years of hands-on experience in data engineering, cloud data warehouses, and ETL development.
Proven expertise in designing and optimizing data pipelines and architectures.
Strong proficiency in advanced SQL and data modeling techniques.
A track record of leading impactful data projects from conception to deployment.
Effective collaboration skills with cross-functional teams and stakeholders.
In-depth understanding of technical architecture and data flow in a cloud-based environment.
Ability to mentor and guide junior team members on best practices for data engineering and development.
Passion for building scalable data solutions that enhance customer experiences and drive business growth.
Strong analytical and problem-solving skills, with a keen eye for detail and accuracy.
Extensive experience working with and aggregating large event-level data.
Familiarity with data governance principles and ensuring compliance with industry regulations.
Preferable experience with Kubernetes for container orchestration and Airflow for workflow management.

Responsibilities:

Lead the design, implementation, and monitoring of scalable data pipelines and architectures using tools like Snowflake and dbt.
Develop and maintain robust ETL processes to ensure high-quality data ingestion, transformation, and storage.
Collaborate closely with data scientists, analysts, and other engineers to design and implement data solutions that drive customer engagement and retention.
Optimize and manage data flows and integrations across various platforms and applications.
Ensure data quality, consistency, and governance by implementing best practices and monitoring systems.
Work extensively with large-scale event-level data, aggregating and processing it to support business intelligence and analytics.
Implement and maintain data products using advanced techniques and tools.
Collaborate with cross-functional teams including engineering, product management, sales, marketing, and customer success to deliver valuable data solutions.
Continuously evaluate and integrate new data technologies and tools to enhance our data infrastructure and capabilities.

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Senior Data Engineer

Requirements:

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