Data Engineer II - Intuit
Data Engineer II - Intuit
Posted on :
11-07-2025
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1 Vacancy
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Job Description
We are looking for a talented Analytics Engineer to support initiatives across Canadian and LATAM business operations. This role is part of a fast-paced innovative team that leverages industry-leading tools and best practices to support analytics product marketing and sales functions.
You will work cross-functionally with AI Data Engineering Marketing Sales and Product teams to support an integrated roadmap to grow and scale business initiatives
Responsibilities include:
Manage dev portal asset including regular security review adding roles and access
Work with US/India Data engineering team to resolve data issues (specially with tables created by data engineers)
Support analysts to set up tables and pipelines work with the superglue team to resolve pipeline incidents and trouble shoot
Support analytics with routine list pulls for market targeting and segmentation
Support Dashboard QA and upkeep to ensure accurate reporting
Assists in promoting data usability and adoption supports established workflows (paved paths) and aids in documentation tasks.
Contributes to data architecture and design efforts and ensures instrumentation and data quality standards align with data-by-design standards
Support Data migration and integration
Contributes to improving data quality and schema design
Creates optimum database and table designs considering business requirements and schema evolution for data in-flight and at rest
Explore and Profile Data Visualize and Aggregate Data and Deliver Automated Processes
Ensure data integrity compliance and governance
Applies advanced visualization and data aggregation techniques to enhance understanding and drive insights
Implements automation to streamline processes promotes sustainable practices and drives data literacy
Requirements
3-4 years of experience working in data analytics engineering or a related field.
Experience with building or managing a data pipeline in production. Familiar with data SLOs validation and pipeline health best practices.
Experience in migration from large monolith tables to domain-specific entities derived from microservices.
Technical Proficiency:
Highly proficient in SQL Tableau Qlik (Strong Preference).
Experience with programming languages including R or Python.
Strong proficiency in data tools such as Databricks dbt and cloud technologies such as AWS and GCP.
Conceptual Understanding:
Solid understanding of normalization schema evolution and transitive dependencies.
Familiarity with data handling concepts (Loading and Transforming Data).
Location: Toronto CA Hybrid onsite 3 days/week normal week is Tuesday and Thursdays on site with one day flex.
3-4 years of experience working in data, analytics, engineering, or a related field. Experience with building or managing a data pipeline in production. Familiar with data SLOs, validation, and pipeline health best practices. Experience in migration from large monolith tables to domain-specific entities derived from microservices. Technical Proficiency: Highly proficient in SQL, Tableau, Qlik (Strong Preference). Experience with programming languages including R or Python. Strong proficiency in data tools such as Databricks, dbt, and cloud technologies such as AWS and GCP. Conceptual Understanding: Solid understanding of normalization, schema evolution, and transitive dependencies. Familiarity with data handling concepts (Loading and Transforming Data). Location: Toronto CA Hybrid, onsite 3 days/week normal week is Tuesday and Thursdays on site with one day flex.
Employment Type
Full Time
Key Skills
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