Data Engineering Leader for Hybrid Data Platform

1 week ago


Toronto, Canada Finance Professionals Inc. Full time

At Finance Professionals Inc., we are seeking a highly skilled Senior Data Engineer to join our team in Toronto.

As a Senior Data Engineer, you will play a key role in designing, developing, and maintaining robust ETL processes to extract, transform, and load data from various sources into our data platform.

We offer a competitive salary of $140,000 per year, plus benefits.

Job Description:

Key Responsibilities
  • Work with business stakeholders and cross-functional teams to understand data requirements and deliver scalable data solutions.
  • Design, develop, and maintain large-scale batch and event-driven data pipelines using cloud and on-premises hybrid data platform topology.
  • Collaborate with data architects to review solutions and data models and ensure adherence to data platform architecture guidelines and engineering best practices.
  • Take ownership of end-to-end deliverables and ensures high-quality software development while fulfilling all operational and functional requirements in a timely manner.
  • Implement and enforce data quality standards and best practices while collaborating with data governance teams to ensure compliance with data policies and regulations.
  • Optimize data integration workflows for performance and reliability.
Requirements
  • 5-7 years of experience building batch and real-time data pipelines leveraging big data technologies and distributed data processing using Spark, Hadoop, Airflow, NiFi, and Kafka.
  • Proficiency in writing and optimizing SQL queries and at least one programming language like Python and/or Scala.
  • Experience with cloud-based data platforms (Snowflakes, Databricks, AWS, Azure, GCP).
  • Expertise using CI/CD tools and working with Docker and Kubernetes platforms.
  • Experience with following DevOps and agile best practices.
  • Experience with data modeling tools and methodologies.

Nice-to-have:

  • Experience with OpenShift, S3, Trino, Ranger, and Hive.
  • Knowledge of machine learning and data science concepts and tools.
  • Knowledge with BI & Analytics tools such as Tableau and Superset.

The successful candidate will have a strong understanding of data engineering principles, excellent problem-solving skills, and the ability to work collaboratively in a fast-paced environment.

We offer a dynamic and inclusive work environment, opportunities for growth and professional development, and a competitive compensation package.


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