Senior Analyst, Network Security

Domtar; Montreal; On-site; CAD 90,000 - 130,000; Full time

Job summary

A leading data services company is seeking a Senior Snowflake Engineer to join their team in Montreal. This role involves developing a Cloud Data Warehouse using Snowflake and Python, focusing on data integration and analytics for Technology Risk functions. Ideal candidates will have a strong background in data warehousing, Snowflake capabilities, and collaboration with various teams for data processing solutions.

Qualifications

• Experience in developing Cloud Data Warehouses using Snowflake.
• Familiarity with Python-based tooling.
• Ability to integrate data quality and discovery tools.

Responsibilities

• Contribute to the development of a next-gen data platform.
• Design and develop data warehouses using Snowflake capabilities.
• Collaborate with various teams for seamless data integration.

Skills

Snowflake

Python

Data Warehouse development

Job description

Overview

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Senior Snowflake Engineer to join our team in Montreal, Quebec (CA-QC), Canada (CA).

Job Description: As a Senior Cloud Data Warehouse Engineer, you will be a member of the C3 Data Warehouse team with a focus on building our next-gen data platform used for sourcing and storing data from different technology systems across the firm into a centralized data platform that empowers various reporting and analytics solutions for the Technology Risk functions within Brokerage. In this role you will be primarily responsible for contributing to the development of our Cloud Data Warehouse utilizing Snowflake and Python-based tooling. You will also be responsible for the design and development of our data warehouse utilizing Snowflake capabilities such as data sharing, time travel, Snow Park, workload optimization across analytic and AI use-cases, and the ingestion and storage of structured and unstructured data. You will also work on the integration of our Snowflake data warehouse with existing internal platforms for data quality, data cataloging, data discovery, incident logging, and metric generation. You will be working closely with data warehousing leads, data analysts, ETL developers, infrastructure engineers, and data analytics teams to facilitate the implementation of this data platform and data pipeline framework.