Streaming Data Engineer

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

📋 Description

• Design, develop, and maintain scalable streaming data pipelines for Bronze, Silver, and Gold data layers.

• Implement data ingestion processes from diverse sources.

• Ensure data quality and integrity throughout the pipeline.

• Collaborate with data scientists, analysts, and stakeholders to define data requirements and deliver effective data solutions.

• Monitor and optimize the performance of streaming data solutions.

• Ensure adherence to data governance and security standards.

• Manage protocols for enhanced security clearance.

• Participate in code review processes.

• Mentor junior team members to foster their growth.

• Document data engineering processes and workflows comprehensively.

• Stay updated with trends and emerging technologies in streaming data engineering.

⛳️ Requirements

• A minimum of 5 years of experience in data engineering, with a focus on streaming data technologies.

• Proficiency in programming languages such as Python, Java, or Scala.

• Experience with data streaming technologies like Apache Kafka, Apache Flink, or similar tools.

• Strong understanding of data modeling and ETL processes.

• Familiarity with cloud platforms such as AWS, Azure, or GCP is a plus.

• Knowledge of Hadoop and Spark is advantageous.

• Enhanced security clearance is mandatory.

• Ability to work remotely from Canada is required.

🏝️ Benefits

• Collaborative work culture that encourages teamwork.

• Opportunities for professional growth and advancement.

• Mentorship and knowledge-sharing initiatives.

• Accommodation support available during the recruitment process.

• Commitment to inclusive hiring practices.