Sr Data Engineer

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Princeton IT Services, Inc
Calgary
CAD 80,000 - 120,000
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Yesterday
Job description
Job Title: Sr Data Engineer

Location: Canada

Job Type : Full-time

Responsibilities
  • Design, develop, and maintain scalable data and file ingestion frameworks.
  • Collaborate with cross-functional teams, analysts, and stakeholders to define data requirements and technical solutions.
  • Optimize data ingestion frameworks for performance and reliability.
  • Implement data governance and security best practices.
  • Troubleshoot data integrity and performance issues.
  • Conduct code reviews and enforce coding standards.
  • Mentor junior engineers and provide guidance on complex projects.
  • Participate in architectural and design discussions.
  • Work on process automation to mitigate data application issues.
  • Stay updated with the latest data engineering trends and technologies.
Requirements
  • 5-6 years of experience in data engineering with a focus on scalable data ingestion frameworks.
  • 3-4 years of hands-on experience with AWS services (Redshift, S3, DynamoDB, EMR serverless, Lambdas, Step Functions, etc.).
  • Proficiency in ETL development using Python, PySpark, and Big Data technologies (Hadoop, Spark).
  • Strong SQL skills and experience with RDBMS (PostgreSQL, Redshift, MySQL, etc.).
  • In-depth knowledge of data warehousing concepts, data modeling, and ETL processes.
  • Excellent communication skills to explain complex technical concepts to non-technical stakeholders.
  • Experience working with Agile methodologies and Scrum processes.
  • Strong problem-solving skills with the ability to work independently and mentor junior developers.
  • 2-3 years of experience in the financial or other highly regulated industries.
  • Familiarity with JIRA, DevOps, and CI/CD best practices.
  • Experience with emerging technologies like AWS QuickSight, Amazon Co-Pilot, or similar tools.
Education
  • Bachelor’s Degree in Computer Science, Information Systems, Mathematics, Software Engineering, or a related field.
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