Senior Data Developer, Analytics & Insights

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

📋 Description

• Design, develop, automate, and maintain scalable, robust, and reliable ELT/ETL data pipelines that gather, process, and transform substantial volumes of structured and unstructured data from diverse sources.

• Enhance and sustain our current data architecture to ensure seamless and efficient data flow across various platforms.

• Collaborate with data colleagues, product managers, and cross-functional stakeholders to collect requirements, sequence tasks, and document technical solutions.

• Implement best practices for data quality, integrity, and governance, including monitoring, validation, and auditing processes to guarantee dependable and consistent data availability.

• Contribute to a team culture that prioritizes quality, robustness, and scalability while promoting initiatives and innovation by keeping abreast of industry trends and new technologies.

• Adopt an AI-native data engineering approach by utilizing ML-driven validation, anomaly detection, automated schema evolution, automated data lineage, and optimizations for pipeline performance and resource efficiency.

⛳️ Requirements

• Over 5 years of experience in data processing and data engineering within a fast-paced, large cloud-based infrastructure (experience with AWS is required).

• Practical software development experience in Python.

• In-depth knowledge of SQL, dimensional modeling, and analytical data warehouses, such as Snowflake and Presto/Hive.

• Familiarity with Data Engineering best practices for medium to large-scale production workloads.

• Understanding of big data processing frameworks, such as Spark and Hadoop.

• Proficiency with data pipeline orchestration tools like Airflow.

• Experience with processing semi-structured file formats such as JSON or Parquet.

• Bachelor’s degree in computer science, data science, or related fields.

🏝️ Benefits

• Annual cash bonuses.

• Comprehensive benefits package.