Data Engineer

3 weeks ago

Sydney, New South Wales, Australia Canva Full time
About the Role

The People Analytics Engineer is a key position in the Business Data Platform team at Canva. This team aims to enable significant, scalable, and sustainable value via data and insights by building a world-class data platform and empowering Canvanauts with efficient and effective data capabilities.

As a People Analytics Engineer, you will be responsible for scaling and supporting the ongoing development and enhancement of Canva's people data platform. This involves integrating new data sources from our people systems, ensuring data reliability, accuracy, and consistency, and applying best practices in data ingestion, modelling, and management.

You will work collaboratively with the People Analytics team, including the People Data Lead and Data Scientist, to understand people data requirements and deliver value to the People Supergroup through dashboards, insights, reports, and enabling other systems with relevant data.

Key Responsibilities

Work primarily with SQL and Python to automate and optimize data ingestion and transformation functions that enable consistency, accuracy, and reliability in people-reported data.
Design and build out semantic data models that support operational, analytical, and reporting needs sourced from our business systems and internal application platforms.
Establish and apply data engineering practices to provide clean, consistent, and logical data layers in the data warehouse for end users.
Maintain, operate, and tune data infrastructure at scale.
Develop and maintain infrastructure, tools, and scalable data ingestion, access, and modelling frameworks to support Canva internal users' use cases of the data warehouse.
Apply data management and governance practices to develop, customize, and maintain high levels of data quality, ensuring data is secure and exposed appropriately to respective groups of users.
Partner and guide data scientists in efficient and manageable practices to maintain effective data lineage, governance, and consistency.
Collaborate with other business domain analytics engineers and stakeholders to embed strong data practices in their relevant domains to meet the needs of big company compliance and relevant SOX controls.

Requirements

At least 3 years of hands-on experience in designing and developing end-to-end cloud data warehouse solutions, preferably with People/HR data.
Dimensional data modelling skills specializing in sourcing data from cloud-based ERP, HCM, and/or CRM platforms.
Familiarity with a wide set of data warehousing principles, including architecture, DataOps methodologies, modelling approaches, performance/optimization principles, and data management best practices.
Experience developing dashboards and reporting solutions using BI solutions.
Experience with cloud-based technologies Snowflake, dbt, Fivetran, or equivalent.
Familiarity with API tools and automation platforms.
Hands-on experience in using CICD tools, PR processes (Github, Jira, Juniper, etc.).
Good written, verbal communication, and collaborative skills, ability to design and build using high-level requirements.

What's in it for you?

At Canva, we celebrate all types of skills and backgrounds. We offer a stack of benefits to set you up for every success in and outside of work, including equity packages, inclusive parental leave policy, an annual Vibe & Thrive allowance, and flexible leave options. Check out lifeatcanva.com for more info.

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