Job VC

Our client is a Canadian financial services company undergoing significant growth and modernization of its data ecosystem. The team is building a scalable cloud-based data platform that will serve as a foundation for analytics, reporting, and data-driven decision-making across the organization.

You will join the Core Data Platform team and take ownership of designing and developing enterprise-grade data solutions.
Responsibilities
Design and implement scalable data models in Snowflake.
Build, optimize, and maintain ELT/ETL pipelines using dbt.
Develop and support workflow orchestration using Airflow or Dagster.
Write clean, reusable, and maintainable Python code for data processing and monitoring.
Collaborate with Tech Leads, analysts, and business stakeholders to define requirements and deliver solutions.
Participate in architecture discussions and drive technical decisions.
Ensure high code quality through reviews, testing, documentation, and CI/CD practices.
Work with cloud-native services across AWS and Azure environments.
Contribute to metadata management, logging, monitoring, and production support.
Must Have
7+ years of experience in Data Engineering.
Strong hands-on experience with Python and advanced SQL.
Experience with Apache Spark or similar large-scale data processing frameworks.
Solid experience with workflow orchestration tools (Apache Airflow or Dagster).
Strong expertise in Snowflake and enterprise data warehouse architectures.
Experience designing secure data platforms, including:
data security implementation;
access control;
data masking policies;
handling sensitive and PII data.
3+ years of experience with cloud platforms (AWS, Azure, or GCP).
Experience building and maintaining CI/CD pipelines.
Strong understanding of software engineering best practices, testing, and documentation.
Ability to work independently and take ownership of end-to-end delivery.
Excellent communication skills and experience working directly with stakeholders.
Upper-Intermediate/Advanced English level (C1).
Nice to Have
Experience with Data Mesh architecture.
Experience with Snowflake UniStore and Hybrid Tables.
Infrastructure as Code experience (Terraform, Ansible).
Experience working in the financial domain.
AWS certifications.
Tech Stack
Snowflake
dbt Core / dbt Cloud
Apache Airflow / Dagster
Python
SQL
Apache Spark
AWS, Azure
Terraform
GitHub Actions
Interview Process
HR Interview
Technical Interview
Short video introduction (2–3 minutes)
Client Interview