Senior Data Engineer
Senior Data Engineer
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
Job Description: Senior/Staff Data Engineer (Contract fulltime)
We are currently hiring for a Senior/Staff Data Engineer (Contract fulltime) to join our newly formed Data & Analytics Engineering team. This team is dedicated to establishing a robust data & analytics engineering foundation at scale empowering fast datadriven decisionmaking for our business partners.
Role Overview:
As a Data Engineer at the Senior/Staff level you will be responsible for driving data solution architecture and implementation in an agile environment. You will work closely with our business partners and other key stakeholders to deliver highquality data solutions.
Qualifications:
Minimum of 8 years of software/data engineering experience including at least 2 years of technical lead experience.
Strong knowledge of data engineering best practices and data architecture patterns such as Data Mesh and Lakehouse.
Proven experience in endtoend data architecture and design preferably with Azure technologies such as Data Factory Databricks Delta Lake Synapse Purview and Azure DevOps.
Solid understanding of data modeling fundamentals and expertise in implementing effective data governance practices including data quality lineage and data discovery.
Experience driving CI/CD and laC adoption to automate change management of data pipelines and infrastructure utilizing tools like Git/GitHub Jenkins Terraform and Ansible.
Deep proficiency in Python and SQL with experience using PySpark.
Ability to build data exploratory interfaces using Notebooks (e.g. Databricks) and sandbox environments to enable selfservice capabilities.
Passion for taking ownership and applying engineering best practices in daytoday work.
Selfstarter and quick learner always seeking opportunities to drive engineering excellence and never satisfied with the status quo.
Responsibilities:
In this role your typical day will involve:
Designing and implementing fullstack data and analytics solutions at scale to enhance analytics capabilities.
Independently shipping large and complex features and foundational improvements from start to completion including requirements/data analysis development testing and deployment.
Building and maintaining data pipelines that ingest clean transform aggregate and serve structured and unstructured data to meet operational and analytical needs.
Driving data modeling and ensuring proper data quality and integrity checks as part of data pipelines.
Establishing robust infrastructure on Azure to enable selfservice data and analytics advanced data science and machine learning capabilities for our business users.
Managing complex requirements and technical discussions with minimal oversight providing architecture recommendations aligned with the technology roadmap and enterprise data strategy.
Continuously seeking opportunities to improve data and code quality platform performance and scalability by introducing and implementing engineering best practices and standards.
Location: Toronto/Hybrid 2 days in office remote)
Contract Duration: 12 months
Required Experience:
Senior IC
Employment Type
Contract
