Senior Data Engineer

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💎 Seniority level: Senior, 5+ years

📍 Location: Canada

🔍 Industry: Retail Media

🏢 Company: Vantage👥 1001-5000 Cryptocurrency Financial Services FinTech Trading Platform

🗣️ Languages: English

⏳ Experience: 5+ years

🪄 Skills: PythonSQLApache AirflowETLKafkaData engineeringData modeling

Requirements:

5+ years of experience in data engineering, big data, or distributed systems.
Strong expertise in Python, SQL (or equivalent big data processing frameworks).
Proficiency in ETL/ELT pipelines using Apache Airflow, or similar orchestration tools.
Experience working with real-time streaming data (Kafka, Kinesis, or Pub/Sub).
Strong understanding of data modelling, data warehousing, and distributed systems.
Familiarity with privacy-compliant data processing (GDPR, CCPA) for advertising/retail media use cases.

Responsibilities:

Design, develop, and optimize data pipelines, ETL/ELT workflows, and data warehouses to support large-scale retail media analytics.
Handle real-time and batch processing at scale
Work closely with data scientists, analysts, software engineers, and product teams to ensure seamless data integration and access.
Implement robust monitoring, validation, and security controls to maintain high data reliability.

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