Data Engineer

6 days ago


Fredericton, New Brunswick, Canada NeenOpal Inc. Full time

At NeenOpal Canada Inc., we are seeking a highly skilled Data Engineer to design, develop, and maintain scalable data pipelines and ETL processes.

About the Role

This is an exciting opportunity for a motivated professional to join our global Business Analytics teams and support the implementation of data warehouse solutions tailored to client needs.

Key Responsibilities
  • Data Pipeline Development: Design, implement, and manage robust data pipelines that ensure efficient data flow from various sources into data warehouses.
  • Data Integration: Utilize industry-standard tools and technologies to integrate and transform data, including AWS Services (AWS Glue, AWS Data Pipeline, Amazon Redshift, and Amazon S3) and Azure Services (Azure Data Factory, Azure Synapse Analytics, and Azure Blob Storage).
  • Data Warehousing: Implement and optimize data warehousing solutions using Snowflake and Amazon Redshift.
  • Database Management: Develop, optimize, and manage relational databases, including SQL Server, MySQL, and PostgreSQL, ensuring data integrity and performance.
  • Performance Optimization: Continuously monitor and improve the performance of data processing workflows, applying best practices for query optimization and data processing efficiency.
Requirements
  • ETL & Data Engineering Tools: Minimum 2+ years of experience in designing and developing ETL processes using tools such as AWS Glue, Azure Data Factory, or similar ETL platforms.
  • Programming: Proficient in Python for data engineering and ETL automation, with familiarity with SQL for database management and query optimization.
  • Cloud Platforms: Strong experience with cloud-based data services on AWS or Azure, with familiarity with GCP a plus.
  • Data Warehousing: Expertise in developing and managing data warehouse solutions using platforms like Snowflake, Amazon Redshift, or Azure Synapse Analytics.
What We Offer
  • Dynamic Work Environment: A hybrid work model that combines the flexibility of remote work with the collaborative benefits of in-office presence.
  • Competitive Salary: $100,000 - $140,000 per year, depending on experience.
  • Professional Growth: Opportunities for continuous learning and development within a fast-growing, global analytics company.


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