Cloud Data Warehouse Engineer

Compunnel Inc.; Montreal; Hybrid; CAD 90,000 - 100,000; Full time

Job summary

A leading company is seeking a Cloud Data Warehouse Engineer in Montreal. The role involves designing and managing a Snowflake data warehouse, developing data solutions, and ensuring optimal performance. Candidates should have extensive experience in data development, SQL, and Python. This hybrid contract position offers competitive compensation and the opportunity to work in the banking domain.

Qualifications

• At least 10 years of experience in data development.
• Hands-on experience with Python and Airflow.
• Strong problem-solving skills.

Responsibilities

• Design, develop, and manage Snowflake data warehouse.
• Contribute to best practices for Snowflake usage.
• Monitor performance of queries and data loads.

Skills

SQL

Python

Snowflake

Airflow

Analytical Skills

Communication

Education

Bachelor’s degree in computer science

Tools

DBT

Spark

Pandas

NumPy

PySpark

Job description

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Job Title: Cloud Data Warehouse Engineer

Nature of Contract: Hybrid

Location: Montreal, QC

Contract Duration: 12+ months

End Client: Banking Domain

KEY 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 QA & 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 a 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 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. Proven ability to manage multiple, concurrent projects with minimal supervision. Can manage a complex ever changing priority list and resolve conflicts to competing priorities.
• Strong problem-solving skills. Ability to identify where focus is needed and bring clarity to business objectives, requirements, and priorities.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Information Technology

• Industries

  IT Services and IT Consulting

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