
Data Engineering Co-Op
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in Canada.
• Support the creation and upkeep of robust data infrastructure utilizing Python, SQL, and cloud technologies for data manipulation, transformation, and querying.
• Assist in the integration of REST APIs for data ingestion and connection with external systems, employing workflow orchestration tools such as Apache Airflow.
• Acquire and implement best practices in data engineering, encompassing data governance, security, and performance enhancement.
• Document workflows, architectural components, and technical decisions to promote transparency and knowledge sharing.
• Recognize and execute opportunities for data automation and process enhancement.
• Monitor and resolve data pipeline performance issues and failures using logging and observability tools.
• Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related fields.
• Proficient in Python, particularly in data manipulation (e.g., pandas, JSON, requests).
• Familiarity with APIs (REST, SOAP) and authentication methods (OAUTH2, KeyPair Authentication).
• Experience with Snowflake, including SQL, Snowpipe, and data staging/loading.
• Experience working with cloud platforms (AWS, Azure, or GCP) and integrating with external APIs.
• Background in data warehouse solutions, particularly with Snowflake or BigQuery.
• Understanding of data security, privacy standards, and handling sensitive information.
• Excellent problem-solving skills, meticulous attention to detail, and capability to work autonomously.
• Knowledge of CI/CD pipelines for data engineering processes.
• Familiarity with Snowflake external functions, UDFs, or integration with external services.
• Remote Work
• Full time
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