Big Data jobs in Waterloo, ON
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- Home Hardware Stores LimitedHybrid work in St. Jacobs, ON
- $85,800–$128,600 a year
- Full-time +1
- Vision care
- Dental care
- Life insurance
- Disability insurance
- Support enterprise data governance and master data management practices by applying data standards and lineage tracking.
- Eligible for the annual bonus program.
- Sun LifeHybrid work in Waterloo, ON
- $85,000–$128,000 a year
- Full-time
- Experience with big data technologies such as Hadoop, Spark, or Hive.
- Expertise in data warehousing concepts and methodologies.
- View all Sun Life jobs - Waterloo jobs - Data Engineer jobs in Waterloo, ON
- Salary Search: Senior Data Engineer salaries in Waterloo, ON
- See popular questions & answers about Sun Life
- GoogleWaterloo, ON
- $174,000–$178,000 a year
- Full-time
- Weekends as needed
- Experience administering and querying data in distributed, columnar or analytic oriented databases or distributed data processing frameworks.
- VerilyWaterloo, ON
- $132,500–$149,000 a year
- Full-time
- Data Platform Experience: 3+ years of direct experience building and shipping data platform products including data catalogs, data management tooling, or data…
- VerilyWaterloo, ON
- $184,000–$206,000 a year
- Full-time
- Drive flagship AI and data science initiatives by designing scalable data architectures, building robust pipelines, and developing advanced machine learning and…
- View all Verily jobs - Waterloo jobs - AI Scientist jobs in Waterloo, ON
- Salary Search: Staff AI Data Scientist salaries in Waterloo, ON
- Hammond Power Solutions Inc.Hybrid work in Guelph, ON
- $96,800–$145,200 a year
- Permanent
- Paid time off
- Employee assistance program
- Flexible schedule
- Document architecture, data flows and data definitions to support maintainability.
- Design end-to-end data solutions (data models, data warehouse, data marts,…
- SiemensHybrid work in Kitchener, ON
- $140,000–$185,000 a year
- Full-time
- Experience in AI/ML data platforms, model evaluation platforms, or MLOps tooling.
- Establish architectural principles for a modular platform that can support…
- SiemensHybrid work in Kitchener, ON
- Full-time
- 3+ years experience building data pipelines, data platforms, telemetry systems, ML data infrastructure, or high-volume event-based storage.
- SiemensHybrid work in Kitchener, ON
- Full-time
- 3+ years experience building data pipelines, data platforms, telemetry systems, ML data infrastructure, or high-volume event-based storage.
- GHDHybrid work in Waterloo, ON
- $62,000 a year
- Experience collecting or interpreting environmental data.
- Experience preparing technical documents, data tables, figures or field records.
- View all GHD jobs - Waterloo jobs - Environmental Scientist jobs in Waterloo, ON
- Salary Search: Graduate Environmental Scientist/Engineer salaries in Waterloo, ON
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- GoogleWaterloo, ON
- $216,000–$221,000 a year
- Full-time
- Bachelor’s degree in Computer Science, a related field, or equivalent practical experience.
- 8 years of experience with software development in one or more…
- GoogleWaterloo, ON
- $216,000–$221,000 a year
- Full-time
- Google utilizes AI tools to assist in assessing candidates in our hiring processes.
- Bachelor’s degree in Computer Science, or a related field, or equivalent…
- GoogleWaterloo, ON
- $147,000–$210,000 a year
- Full-time
- 2 years of experience with data structures and algorithms.
- Implement GenAI solutions, utilize ML infrastructure, and contribute to data preparation,…
- JobberHybrid work in Kitchener-Waterloo, ON
- $145,900–$197,400 a year
- Full-time
- Experience with large data in production environments and the platforms that support it.
- You'll be the person who decides how ML systems at Jobber are built,…
- View all Jobber jobs - Kitchener-Waterloo jobs - Staff Scientist jobs in Kitchener-Waterloo, ON
- Salary Search: Staff Data Scientist, Applied ML salaries
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- JobberHybrid work in Kitchener-Waterloo, ON
- $106,590–$144,210 a year
- Full-time
- Proficiency with BI and data visualization tools such as Tableau, with the ability to communicate insights clearly through data.
Senior Data Reporting Analyst
Easily applyEquitable CAHybrid work in Waterloo, ON- $80,000–$95,000 a year
- Full-time
- Ensure data quality and integrity throughout the data lifecycle.
- Familiarity with big data technologies like Hadoop, Spark, or Kafka.
- View all Equitable CA jobs - Waterloo jobs - Senior Reporting Analyst jobs in Waterloo, ON
- Salary Search: Senior Data Reporting Analyst salaries in Waterloo, ON
- See popular questions & answers about Equitable CA
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Job Post Details
Analytics Data Specialist
St. Jacobs, ON
•
Hybrid work
$85,800–$128,600 a year
-
Permanent, Full-time
Analytics Data Specialist
Job details
$85,800–$128,600 a year
Vision care, Dental care, Life insurance, Disability insurance
Permanent, Full-time
Hybrid work in St. Jacobs, ON
Full job description
Welcome Home!
We’re more than Canada’s largest independent hardware and building supplies retailer—we’re part of communities across the nation.
Build Trusted Data. Empower Every Decision.
As the Analytics Data Specialist, you will champion and deliver enterprise data products that turn raw data into trusted insights, enabling scalable analytics through an Analytics Centre of Excellence. As part of the team that powers enterprise reporting and decision-making, you'll empower every area of the business with trusted data and insights that drive measurable business outcomes. Led by the Manager, Data and Analytics, this opportunity suits a collaborative and detail-oriented professional who enjoys building scalable data solutions, enabling enterprise analytics, and solving complex data challenges.
Ready to make an impact in a new role? Here’s how:
- Design, build, and maintain scalable data products within Microsoft Fabric and Azure ecosystems that deliver trusted, business-ready data for reporting, analytics and decision making.
- Develop and maintain Lakehouse and Warehouse data architectures, ensuring structured high performing data layers that support enterprise analytics.
- Design and optimize business aligned semantic models that enable consistent reporting and analytics.
- Develop automated data pipelines and integrated workflows using Fabric Data Factory, notebooks and Azure services to transform and deliver data.
- Implement scalable data transformations that standardize how data is curated and modeled for analytics consumption.
- Ensure data quality, integrity and reliability through validation, monitoring and cleansing processes across all datasets.
- Collaborate with analytics teams to deliver high quality data solutions and enable adoption of enterprise data products.
- Support enterprise data governance and master data management practices by applying data standards and lineage tracking.
We’re looking for:
- Bachelor’s degree in Data Science, Data Analytics, Data Engineering, or a related field; additional analytics certifications are an asset.
- A minimum of five years of experience in data analytics, data engineering, or a related analytics role.
- Strong experience with cloud data platforms, particularly Microsoft Fabric, Azure Synapse, and Azure SQL.
- Strong experience with data engineering and analytics languages (PySpark, SQL, Python, R).
- Experience with database technologies (SQL Server, Azure SQL), PowerShell scripting, and ETL/ELT processes (SSIS).
- Experience with cloud data platforms, particularly Microsoft Fabric, Azure Synapse, and Azure SQL.
- Experience with automation and CI/CD pipelines (Azure DevOps, GitHub) to support repeatable deployments.
- Strong understanding of modern data architecture, including medallion architecture (Bronze/Silver/Gold), dimensional and semantic data models, and data governance practices.
- Experience delivering end-to-end analytics solutions, including data ingestion, transformation, semantic modeling, and reporting (Power BI).
- Strong analytical and problem-solving skills, with the ability to diagnose issues across distributed data platforms.
- Excellent cross-functional communication skills, with the ability to build relationships and confidently interact with senior leaders.
- Proven ability to manage multiple priorities and meet deadlines in a fast-paced environment.
- Highly adaptable, with a passion for learning and evolving alongside emerging technologies such as Microsoft Fabric and AI.
- Experience with data mining, predictive analytics, machine learning, and Agile methodologies (Scrum, Kanban) is an asset.
- The ability to be onsite three days a week at our corporate office in St. Jacobs, to accommodate our hybrid working model.
How we’ll make you feel at Home
Our Team Members enjoy life at Home with our strong culture of support and inclusion, excellent benefits, and a team that always has your back. You will receive:
- The expected starting salary range for this role is $85,800 - $128,600; the final offer will reflect relevant skills and experience.
- Eligible for the annual bonus program.
- Comprehensive Benefits Program including:
-
- Health, Dental, Vision, Paramedical, Disability coverage, Out of Country Travel Insurance, Life Insurance, Employee Family Assistance Program.
- Defined Contribution Pension Plan with Company Match, and choice of contribution level.
- Group RRSP.
- Discount from our Corporate Retail Store in St. Jacobs.
- Home & Auto Insurance discounts.
- Competitive vacation time.
- Personal and sick time.
- Employee Discount Program through Venngo WorkPerks.
This job posting is for an existing vacancy within our organization.
We may use Artificial Intelligence (AI) technology to assist in reviewing applications and assessing qualifications. These tools support efficiency and consistency throughout the recruitment process, but they do not replace human judgment. All hiring decisions are made by recruiters and/or hiring managers. For more information about our use of AI and how we handle candidate information, please refer to the New Applicant Privacy Notice.
Bring your unique skills, thrive with interesting and challenging work, and experience what it’s like at Home. Apply today - this is a great opportunity to join a proudly Canadian company that is 100% ready to help you build your future.
Home Hardware recognizes the value of a diverse team. We believe that different perspectives, backgrounds, and experiences make us stronger as an organization. Applicants representing the full diversity of communities in Canada are encouraged to apply with confidence. Please let us know if you require accommodation during the recruitment process.
Canadians call us Home Hardware. We call it Home.
#HP
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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