Data Solutions Architect

4 days ago


Fredericton, Canada NeenOpal Inc. Full time

Job Title: Cloud Data Engineer

At NeenOpal Canada Inc., we are seeking a skilled Cloud Data Engineer to design, develop, and maintain scalable data pipelines and ETL processes. This role offers the opportunity to work in a hybrid environment, with 1-2 days per week in our Fredericton office.

Key Responsibilities:

  • Design, implement, and manage robust data pipelines that ensure efficient data flow from various sources into data warehouses. This includes automating ETL processes using Python and advanced data engineering tools.
  • Utilize industry-standard tools and technologies to integrate and transform data. This includes working with platforms such as AWS Services, Azure Services, Snowflake, Amazon Redshift, SQL Server, MySQL, and PostgreSQL.
  • Implement and optimize data warehousing solutions using Snowflake and Amazon Redshift.
  • Develop, optimize, and manage relational databases ensuring data integrity and performance.
  • Continuously monitor and improve the performance of data processing workflows. Apply best practices for query optimization and data processing efficiency.

Requirements:

  • Minimum 2+ years of experience in designing and developing ETL processes using tools such as AWS Glue, Azure Data Factory, or similar ETL platforms.
  • Proficient in Python for data engineering and ETL automation. Familiarity with SQL for database management and query optimization.
  • Strong experience with cloud-based data services on AWS or Azure. Familiarity with GCP is a plus.
  • 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: $120,000 - $150,000 per annum, depending on experience.
  • Professional Growth: Opportunities for continuous learning and development within a fast-growing, global analytics company.


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