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Senior Cloud Data Warehouse Engineer - Jobs in Montreal

CYNET SYSTEMS
Job LocationMontreal
EducationNot Mentioned
SalaryNot Mentioned
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypeFull time

Job Description

Job DescriptionJob Description Responsibilities:

  • To design, develop, and manage our Snowflake data warehouse.
  • To contribute towards the establishment of best practices for the optimal and efficient usage of Snowflake with tooling like Airflow, DBT and Spark.
  • To assist with the testing and deployment of our data pipeline framework utilizing standard testing frameworks and CI/CD tooling.
  • To monitor the performance of queries and data loads and perform tuning as necessary.
  • To provide assistance and guidance during the QAamp; UAT phases to quickly confirm the validity of potential issues and to determine the root cause and best resolution of verified issues.
Skills / Qualifications:
  • Bachelor s degree in Computer Science, Software Engineering, Information Technology, or related field required.
  • At least 10 years of experience in data development and solutions in highly complex data environments with large data volumes.
  • At least 7 years of SQL / PLSQL experience with the ability to write ad-hoc and complex queries to perform data analysis.
  • At least 5 years of experience with developing data solutions on Snowflake.
  • At least 3 years of data pipelines and data warehousing solutions using Python and libraries such as Pandas, NumPy, PySpark, etc.
  • At least 3 years of experience developing solutions in a hybrid data environment (on-Prem and Cloud).
  • Hands-on experience with Python must.
  • Hands-on experience with Airflow (or similar tools like Dagster) a must.
  • Snowflake SnowPro Core a must.
  • Snowflake SnowPro Advanced Architect and Advanced Data Engineer a plus.
  • Hands-on experience with DBT is a plus.
  • Experience with performance tuning SQL queries, Spark job, and stored procedures.
  • An understanding of E-R data models (conceptual, logical, and physical).
  • Understanding of advanced data warehouse concepts (Factless Fact Tables, Temporal Bi-Temporal models, etc.) a plus.
  • Strong analytical skills, including a thorough understanding of how to interpret customer business requirements and translate them into technical designs and solutions.
  • Strong communication skills both verbal and written.
  • Capable of collaborating effectively across a variety of IT and Business groups, across regions, roles and able to interact effectively with all levels.
  • Self-starter with a Proven ability to manage multiple, concurrent projects with minimal supervision and can manage a complex ever changing priority list and resolve conflicts to competing priorities.
  • Strong problem-solving skills with an ability to identify where focus is needed and bring clarity to business objectives, requirements, and priorities.

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