Senior Data Engineer

HiHope you are well!

I am reaching you for a job opening with one of my prestigious clients.

Please go through the job description,

Job Title:

Data Engineer
- Bigdata and GCP

Location:

Toronto, ON(1day/week onsite)
Pay range: CAD 70 to 90/HR
Duration:
Contract

Key Responsibilities:

● Work with stakeholders to architect and develop data driven-solutions that support diverse data consumers across the organization.
● Drive the development and implementation of robust data models and semantic layers for business intelligence and analytics.
● Architect, build, and optimize data pipelines using technologies such as Python, Scala, Beam, Spark, Iceberg, Airflow, and other GCP services.
● Build APIs to deliver real-time or pre-calculated data for high frequency, low latency applications and microservices.
● Develop and implement rigorous testing, data validation, monitoring and alerting strategies to ensure accuracy and consistency while minimizing MTTR.
● Mentor and guide junior data engineers to promote best practices and elevate the technical capabilities of the team.
● Collaborate with business and engineering teams, including Staff Developers and Product Managers, to identify and meet data delivery and transformation needs.
● Actively contributes to building a data-driven culture that prioritizes hypotheses-driven product development.

What You’ll Bring
● BA/BS inputer Science, Engineering, Math, or a related field; advanced degrees are a plus.
● 4+ years of experience in software development, with at least 2 years as a Data Engineer.
● Extensive hands-on experience with relational databases like Big Query for data warehousing and analytics, as well as some experience with non-relational databases such as Big Table.
● Proven ability to writeplex SQL queries and perform advanced analysis on large datasets.
● Strong programming experience in Python, Scala, Java, or other data processing languages.
● Strong experience with cloud technologies (GCP, AWS, Azure) and data infrastructure.
● Advanced understanding of data warehouse concepts and best practices.
● Strong experience with Git for version control and collaborative development.
● Strong oral and writtenmunication skills, with an ability to articulate technical concepts to both technical and non-technical stakeholders.
● Proven team player that will work well in a dynamic and fast-paced environment.
● Experience working in an agile environment with a focus on iterative delivery and continuous improvement.
● Passionate about data, with a strong desire to learn and continuously improve.