Data Engineer

Overview

We are seeking an experienced Data Engineer with strong expertise in designing and implementing scalable data ingestion frameworks. The ideal candidate will have hands-on experience with AWS services, Big Data technologies, and a proven ability to collaborate in an Agile environment.

Job Title: Data Engineer
Location: Canada (Remote)
Job Type: Contract

• Design and implement scalable data ingestion frameworks.
• Develop and optimize ETL pipelines using Python, PySpark, and Big Data technologies (Hadoop/Spark).
• Work with AWS services including Redshift, S3, Dynamo
  
  DB, EMR Serverless, Lambda, Step Functions, and more.
• Perform data modeling, manage ETL processes, and support data warehousing initiatives.
• Write efficient SQL queries and manage RDBMS (Postgres, Redshift, MySQL, etc.).
• Collaborate with cross-functional teams to ensure adherence to best practices and resolve data-related issues.
• Mentor and lead junior developers as needed.
• Participate in Agile/Scrum processes.
• Communicate complex technical concepts effectively to non-technical stakeholders.
• Handle additional tasks as assigned.

• 6+ years of data engineering experience.
• 4+ years of hands-on experience with AWS platform (Redshift, S3, Dynamo
  
  DB, EMR Serverless, Lambda, Step Functions).
• Proficiency in Python, PySpark, and Big Data technologies.
• Strong SQL knowledge and RDBMS experience.
• Deep understanding of data modeling, ETL processes, and data warehousing concepts.
• Excellent problem-solving skills and ability to work independently.
• Strong written and verbal communication skills.
• Experience with Agile methodology and Scrum processes.

• Mid-Senior level

• Contract

• Information Technology