Senior Data Engineering Specialist

1 week ago

Toronto, Ontario, Canada Myticas Consulting Full time
Job Description:

We are seeking a highly skilled Senior Data Engineering Specialist to join our team at Myticas Consulting. In this role, you will play a key part in developing and implementing data integration strategies, building data pipelines, performing data modeling, ensuring data governance, and planning scalable solutions.

About the Role:

  • You will collaborate with our Data and AI team to design and implement data integration solutions that meet the organization's needs.
  • You will build, maintain, and optimize data infrastructure using tools such as Apache Spark, Azure Data Factory, and other relevant technologies.
  • You will develop and maintain data pipelines to ensure smooth data flow across systems.
  • You will perform data modeling to create structured datasets for analytics and reporting purposes.
  • You will ensure data governance practices are followed to maintain data quality, integrity, and compliance with industry standards.
  • You will plan and implement scalable data solutions on cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform.
  • You will interface with multiple groups within the organization to understand data requirements and deliver effective data solutions.
  • You will implement data security best practices and ensure compliance with data privacy regulations.
  • You will work in an Agile environment, collaborating with cross-functional teams and using project management tools to deliver projects effectively.

Requirements:

  • You must have a Bachelor's degree in Computer Science, Data Engineering, or related field. A Master's degree or relevant certifications are a plus.
  • You should have strong experience as a Data Engineer in a similar industry environment (waste management, material supply, construction).
  • You should be proficient in SQL, Python, data integration, ETL processes, and data governance.
  • You should have hands-on experience with cloud platforms (e.g., Microsoft Azure) and data technologies (e.g., Hadoop, Apache Spark).
  • You should have knowledge of data warehousing concepts, data lake architecture, and dimensional modeling.
  • You should have experience with data visualization tools (e.g., Tableau, Power BI) and creating dashboards for stakeholders.
  • You should be familiar with Agile methodologies, project management tools, and collaboration skills.
  • You should have strong problem-solving skills, attention to detail, and ability to communicate effectively.

Compensation:

The estimated salary for this role is $120,000 - $180,000 per year, depending on experience and qualifications.

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