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Data Analysts Jobs in Canada

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Senior Data Scientist at SecurityScorecard UK Ltd
Canada, Kentucky, United States - Full Time
Skills Needed
Machine Learning, Cybersecurity Risk Scoring, Threat Intelligence, Vendor Risk Assessment, Exploratory Data Analysis, Python, Scikit Learn, Xgboost, Mlflow, Databricks, Cloud Based Data Pipelines, Aws, Gcp, Model Evaluation, Model Deployment, Llms
Specialization
Candidates must possess an advanced degree in a quantitative field or equivalent professional experience, coupled with 5 or more years applying data science and machine learning to real-world challenges. Proficiency in Python and standard ML frameworks is required, along with experience in cloud data pipelines.
Experience Required
Minimum 5 year(s)
Data Analyst at Microsoft
Vancouver, British Columbia, Canada - Full Time
Skills Needed
Data Analysis, Sql, Python, Power Bi, Machine Learning, Data Governance, Analytics, Azure Databricks, Data Modeling, Agile Methodology, Communication, Mentoring, Business Intelligence, Technical Requirements, Data Transformation, Stakeholder Management
Specialization
Candidates must have a Master's or Bachelor's degree in a relevant field along with significant experience in data analysis and reporting. Proficiency in Power BI and SQL, as well as experience with Azure data stack, is also required.
Experience Required
Minimum 5 year(s)
Data Analyst at HelloFresh
Toronto, Ontario, Canada - Full Time
Skills Needed
Sql, Bi Tools, Self Service Analytics, Marketing Analytics, Data Storytelling, Forecasting, Analytical Modeling, Data Warehousing, Python
Specialization
Candidates should have advanced SQL skills and experience with BI tools, along with a good understanding of marketing analytics concepts. Familiarity with forecasting and analytical modeling is also desired, along with the ability to present insights to non-technical stakeholders.
Experience Required
Minimum 2 year(s)
Data Analyst at Agri Foods
Burnaby, British Columbia, Canada - Full Time
Skills Needed
Data Validation, Data Migration, Reporting, Testing, Governance Support, Training, Continuous Improvement, Analytical Skills, Negotiation, Project Management, Attention To Detail, Troubleshooting, Communication, Presentation Skills, Power Bi Reporting, Api Connections
Specialization
Candidates need a Bachelor's degree or College Diploma in a relevant field and at least three years of experience working with business systems, including one year in supply chain or a similar area. Essential skills include strong analytical and troubleshooting abilities, excellent communication, and proficiency with technologies like NetSuite, SQL, and Power BI.
Experience Required
Minimum 2 year(s)
Data Modeler at FULFILLMENT IQ INC
Toronto, Ontario, Canada - Full Time
Skills Needed
Data Modeling, Dimensional Modeling, Snowflake, Supply Chain, Logistics, Warehousing, Sql, Kimball Methodology, Data Lake House, Gcp, Cdc, Data Governance, Mdm Modeling, Json Modeling, Kafka, Feature Store Design
Specialization
Candidates must possess a minimum of 6 years in data modeling roles, including logical, physical, and dimensional modeling, coupled with over 3 years of experience using Snowflake for data engineering and warehousing. Essential domain knowledge includes supply chain, logistics, and warehousing data, alongside strong expertise in SQL and dimensional modeling (Kimball methodology).
Experience Required
Minimum 5 year(s)
Data Analyst at Bayshore Healthcare Ltd.
Markham, Ontario, Canada - Full Time
Skills Needed
Data Compilation, Data Processing, Reporting, Data Mapping, Report Design, Process Improvement, Data Inquiries, Data Integrity, Policy Development, Data Analysis, Trend Identification, Critical Thinking, Problem Solving, Excel, Power Bi, Microsoft Office
Specialization
Candidates need a Diploma or Degree in Statistics, Data Analytics, or Clinical/Health Informatics, coupled with 12 to 23 years of experience in data management, with clinical/healthcare experience being preferred. Essential abilities include deriving insights from data, fostering collaboration, exceptional analytical skills, and proficiency with data visualization tools like Excel and Power BI.
Experience Required
Minimum 10 year(s)
Data Analyst at NFI Parts
Winnipeg, Manitoba, Canada - Full Time
Skills Needed
Data Cleansing, Data Auditing, Data Transformation, Data Classification, Data Management, Data Validation, Cross Referencing, Erp Systems, Product Data Management, Data Governance, Process Improvement, Sql, Python, Analytical Mindset, Communication, Documentation
Specialization
Successful candidates must have education in Data Science, Statistics, or Business Analytics, along with an understanding of aftermarket parts structure, catalog data, and cross-referencing. Required experience includes data cleansing, auditing, transformation, classification, and proficiency with ERP systems and data management tools like SQL or Python.
Experience Required
Minimum 2 year(s)
Data Analyst at Microsoft
Vancouver, British Columbia, Canada - Full Time
Skills Needed
Sql, Python, Azure Databricks, Synapse, Power Bi, Fabric, Machine Learning, Data Modeling, Agile Methodology, Data Governance, Data Platforms, Data Flows, Dax, Ctes, Pyspark, Data Factory
Specialization
Candidates require a Master's degree with 2+ years of experience or a Bachelor's degree with 4+ years of experience in data analysis, business intelligence, or a related field, including experience with Power BI modeling and DAX. Preferred qualifications include knowledge of SQL (window functions, CTEs), Python/PySpark, and experience with the Azure data stack like Fabric, Synapse, and Databricks.
Experience Required
Minimum 5 year(s)
Data Analyst at Tangam Systems
Waterloo, Ontario, Canada - Full Time
Skills Needed
Data Analytics, Data Visualization, Sql, Excel, Business Intelligence Tools, Communication, Statistical Concepts, Tableau, Data Modeling
Specialization
Candidates need 1-4 years of data analysis experience, proficiency in Excel, experience with business intelligence tools like Tableau, and knowledge of relational databases with the ability to write SQL. A Bachelor's degree in a quantitative field like Applied Mathematics, Statistics, Business, Economics, or Computer Science/Engineering is required, along with the ability to travel quarterly.
Data Engineer - Databricks at The Citco Group Limited
Toronto, Ontario, Canada - Full Time
Skills Needed
N/A
Specialization
The job posting does not specify detailed requirements or qualifications. However, it implies a need for relevant experience in data engineering.
Experience Required
Minimum 2 year(s)
Data Engineer at Intrado Life & Safety, Inc.
, , Canada - Full Time
Skills Needed
Data Engineering, Azure Data Factory, Databricks, Python, Sql, Etl/Elt, Data Quality Assurance, Api, Microsoft Dynamics 365 F&O, Salesforce, Servicenow, Llm Application, Data Pipelines, Data Transformation, Schema Validation
Specialization
Candidates must possess 5+ years of experience building and maintaining large-scale ETL/ELT pipelines in a cloud environment, with strong proficiency in Azure Data Factory, Databricks, SQL, and Python. Experience with enterprise platform APIs and using LLMs to streamline workflows is also required.
Experience Required
Minimum 5 year(s)
Data Engineer at NTT DATA
Montreal, Quebec, Canada - Full Time
Skills Needed
Data Engineering, Python, Sql, Data Pipelines, Data Warehousing, Cloud Technologies, Performance Tuning, Data Validation, Agile Practices, Data Solutions, Data Integration, Analytical Skills, Problem Solving, Communication Skills, E R Data Models, Ci/Cd Tooling
Specialization
Candidates should have over 4 years of experience in data engineering or analytics, with strong skills in SQL and Python. Experience in hybrid data environments and performance tuning is also required.
Experience Required
Minimum 5 year(s)
Data Engineer at Intrado Life & Safety, Inc.
, , Canada - Full Time
Skills Needed
Data Engineering, Azure Data Factory, Databricks, Python, Sql, Etl/Elt Pipelines, Data Quality Assurance, Api, Microsoft Dynamics 365 F&O, Salesforce, Servicenow, Llm Application, Data Ingestion, Data Transformation, Schema Validation
Specialization
Candidates must possess over 5 years of experience in Data Engineering, focusing on large-scale ETL/ELT pipelines within a cloud environment, demonstrating proficiency in Azure Data Factory, Databricks, SQL, and Python. Required qualifications also include experience with enterprise platform APIs and using LLMs to streamline workflows.
Experience Required
Minimum 5 year(s)
Data Engineer at Xideral
Montreal, Quebec, Canada - Full Time
Skills Needed
Data Engineering, Etl, Elt, Data Pipeline, Sql, Python, Data Modeling, Architecture, Business Intelligence, Cloud Bi, Rest Api, Agile, Data Profiling, Gdpr, Sox, Ci/Cd
Specialization
Candidates must have a Master’s degree in Business Intelligence or equivalent and strong hands-on experience with technologies such as Snowflake, DBT, and Microsoft SQL Server. Proficiency in SQL and Python, along with experience in data modeling and architecture, is also required.
Experience Required
Minimum 5 year(s)
Data Engineer at Odaia Intelligence Inc.
Toronto, Ontario, Canada - Full Time
Skills Needed
Data Engineering, Aws, Snowflake, Python, Etl Processes, Sql, Data Integration, Data Management, Automation Tools, Data Pipelines, Apis, Data Models, Collaboration, Healthcare Data, Veeva, Salesforce
Specialization
Candidates should have over 3 years of experience in data engineering and strong proficiency in AWS and Python. Familiarity with data orchestration tools and experience with healthcare-related datasets are also important.
Experience Required
Minimum 2 year(s)
Data Engineer at Charger Logistics Inc
Brampton, Ontario, Canada - Full Time
Skills Needed
Sql, Python, Risingwave, Dbt, Postgresql, Bigquery, Snowflake, Mongodb, Kafka, Airflow, Gcp, Alloydb, Cdc, Pandas, Sqlalchemy, Git
Specialization
Candidates must possess a Bachelor's degree in a related field and have 5+ years of data engineering experience, specifically requiring expertise in SQL, Python, RisingWave, AlloyDB, and CDC. Expert skills in DBT, advanced SQL, Python libraries, and production experience with Kafka, Airflow, and GCP are mandatory.
Experience Required
Minimum 5 year(s)
Data Engineer at Takeaway
Calgary, Ontario, Canada - Full Time
Skills Needed
Sql, Dbt, Python, Gcp, Data Engineering, Data Analytics, Data Management, Infrastructure Initiatives, Cross Functional Collaboration, Stakeholder Management, Logistics Systems Analysis, Communication Skills
Specialization
Candidates must possess prior experience in a Data Engineering position, demonstrating advanced SQL skills and familiarity with relational databases, preferably including data transformation tools like dbt. Proficiency in Python or similar programming languages and experience with cloud platforms, especially GCP, are also required.
Experience Required
Minimum 2 year(s)
Data Engineer at Blackline Safety
, , Canada - Full Time
Skills Needed
Data Pipelines, Cloud Tools, Real Time Data, Batch Data, Etl/Elt, Data Lake, Data Warehouse, Data Lakehouse, Sql, Python, Java, Scala, Aws Services, Apache Kafka, Terraform, Github Actions
Specialization
Candidates should be pragmatic builders passionate about data-driven decisions, comfortable with clean architecture and thorough documentation, and capable of working in agile teams. Required technical experience includes 3 years in a Data Engineer role, proficiency in SQL, Python, Java, and/or Scala, and experience with event-driven architectures and various AWS data services.
Experience Required
Minimum 2 year(s)
Data Engineer at Peak Power Inc
Toronto, Ontario, Canada - Full Time
Skills Needed
Python, Data Pipelines, Cloud Applications, Postgres, Timescaledb, Influxdb, Apache Airflow, Luigi, Pulumi, Terraform, Kubeflow, Sagemaker, Apache Spark, Apache Flink, Amazon S3, Generative Ai
Specialization
Candidates must possess a Bachelor's degree in a technical field or equivalent practical experience, along with over 5 years of experience as a data engineer or software engineer utilizing Python to build and deploy data pipelines. Required experience includes working with containerized cloud applications, relational/time series databases, and workflow orchestration tools like Apache Airflow.
Experience Required
Minimum 5 year(s)
Senior Data Scientist, Clinical Research at Function Health
Canada, Kansas, United States - Full Time
Skills Needed
Data Science, Clinical Research, Machine Learning, Epidemiology, Outcomes Research, Statistical Modeling, Causal Inference, Longitudinal Analysis, Survival Analysis, Python, R, Scientific Writing, Risk Stratification, Biomarker Clustering, Physiology, Pathology
Specialization
Candidates must possess a PhD in a natural science or an MD with strong quantitative research experience, coupled with 5+ years in data science or clinical research, including demonstrated experience publishing scientific papers. Strong statistical foundations and proficiency in Python or R are essential for this senior, research-focused position.
Experience Required
Minimum 5 year(s)
Senior Data Scientist at SecurityScorecard UK Ltd
Canada, Kentucky, United States -
Full Time

Start Date

Immediate

Expiry Date

20 Jun, 26

Salary

205000.0

Posted On

22 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Machine Learning, Cybersecurity Risk Scoring, Threat Intelligence, Vendor Risk Assessment, Exploratory Data Analysis, Python, Scikit-learn, XGBoost, MLFlow, Databricks, Cloud-based Data Pipelines, AWS, GCP, Model Evaluation, Model Deployment, LLMs

Industry

Data Security Software Products

Description
About SecurityScorecard: SecurityScorecard is the global leader in cybersecurity ratings, with over 12 million companies continuously rated, operating in 64 countries. Founded in 2013 by security and risk experts Dr. Alex Yampolskiy and Sam Kassoumeh and funded by world-class investors, SecurityScorecard’s patented rating technology is used by over 25,000 organizations for self-monitoring, third-party risk management, board reporting, and cyber insurance underwriting; making all organizations more resilient by allowing them to easily find and fix cybersecurity risks across their digital footprint. Headquartered in New York City, our culture has been recognized by Inc Magazine as a "Best Workplace,” by Crain’s NY as a "Best Places to Work in NYC," and as one of the 10 hottest SaaS startups in New York for two years in a row. Most recently, SecurityScorecard was named to Fast Company’s annual list of the World’s Most Innovative Companies for 2023 and to the Achievers 50 Most Engaged Workplaces in 2023 award recognizing “forward-thinking employers for their unwavering commitment to employee engagement.” SecurityScorecard is proud to be funded by world-class investors including Silver Lake Waterman, Moody’s, Sequoia Capital, Google Ventures, and Riverwood Capital. Role Overview: We are looking for a talented and driven Senior Data Scientist to join our fast-moving, growing Data Science team leveraging our vast and unique cybersecurity data assets. As a Senior Data Scientist, you will play a crucial role in developing and implementing advanced machine learning models that drive insights and enhance our cybersecurity platform. You will work on challenging problems, collaborate with cross-functional teams, and contribute directly to the success of our products. Responsibilities: Build, evaluate, and deploy machine learning models for cybersecurity risk scoring, threat intelligence, and vendor risk assessment. Perform exploratory data analysis and identify patterns, trends, and anomalies in large and complex datasets. Evaluate and validate models, ensuring their accuracy, robustness, and scalability. Collaborate with product managers and engineers to define data science requirements and integrate models into production systems. Contribute to code reviews, design discussions, and data science best practices. Stay current on new research and technologies to ensure we leverage state-of-the-art methods. Communicate findings and recommendations effectively to both technical and non-technical audiences. Qualifications: Advanced degree in a quantitative field (e.g., Engineering, Computer Science, Statistics, Mathematics) or equivalent professional experience applying data science to complex problems. 5+ years of experience applying data science and machine learning to real-world challenges. Proficient in Python and ML/data science frameworks (e.g., scikit-learn, XGBoost, MLFlow, Databricks). Experience working with cloud-based data pipelines (AWS, GCP, or similar). Solid understanding of ML algorithms, evaluation metrics, and model deployment. Effective communicator and team player with a passion for solving hard problems. Prior exposure to cybersecurity, threat intelligence, or risk scoring a significant plus. Prior exposure and interest in LLMs is a plus. Benefits: Specific to each country, we offer a competitive salary, stock options, Health benefits, and unlimited PTO, parental leave, tuition reimbursements, and much more! The estimated total compensation range for this position is $170,000 - $205,000 USD (base plus bonus). Actual compensation for the position is based on a variety of factors, including, but not limited to affordability, skills, qualifications and experience, and may vary from the range. In addition to base salary, employees may also be eligible for annual performance-based incentive compensation awards and equity, among other company benefits. SecurityScorecard is committed to Equal Employment Opportunity and embraces diversity. We believe that our team is strengthened through hiring and retaining employees with diverse backgrounds, skill sets, ideas, and perspectives. We make hiring decisions based on merit and do not discriminate based on race, color, religion, national origin, sex or gender (including pregnancy) gender identity or expression (including transgender status), sexual orientation, age, marital, veteran, disability status or any other protected category in accordance with applicable law. We also consider qualified applicants regardless of criminal histories, in accordance with applicable law. We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or accommodation due to a disability, please contact talentacquisitionoperations@securityscorecard.io. Any information you submit to SecurityScorecard as part of your application will be processed in accordance with the Company’s privacy policy and applicable law. SecurityScorecard does not accept unsolicited resumes from employment agencies. Please note that we do not provide immigration sponsorship for this position. #LI-DNI

How To Apply:

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Responsibilities
The Senior Data Scientist will be responsible for building, evaluating, and deploying advanced machine learning models focused on cybersecurity risk scoring, threat intelligence, and vendor risk assessment. This role involves performing exploratory data analysis on large datasets and collaborating with cross-functional teams to integrate models into production systems.
Senior Data Scientist at SecurityScorecard UK Ltd
Canada, Kentucky, United States - Full Time
Skills Needed
Machine Learning, Cybersecurity Risk Scoring, Threat Intelligence, Vendor Risk Assessment, Exploratory Data Analysis, Python, Scikit Learn, Xgboost, Mlflow, Databricks, Cloud Based Data Pipelines, Aws, Gcp, Model Evaluation, Model Deployment, Llms
Specialization
Candidates must possess an advanced degree in a quantitative field or equivalent professional experience, coupled with 5 or more years applying data science and machine learning to real-world challenges. Proficiency in Python and standard ML frameworks is required, along with experience in cloud data pipelines.
Experience Required
Minimum 5 year(s)
Data Analyst at Microsoft
Vancouver, British Columbia, Canada - Full Time
Skills Needed
Data Analysis, Sql, Python, Power Bi, Machine Learning, Data Governance, Analytics, Azure Databricks, Data Modeling, Agile Methodology, Communication, Mentoring, Business Intelligence, Technical Requirements, Data Transformation, Stakeholder Management
Specialization
Candidates must have a Master's or Bachelor's degree in a relevant field along with significant experience in data analysis and reporting. Proficiency in Power BI and SQL, as well as experience with Azure data stack, is also required.
Experience Required
Minimum 5 year(s)
Data Analyst at HelloFresh
Toronto, Ontario, Canada - Full Time
Skills Needed
Sql, Bi Tools, Self Service Analytics, Marketing Analytics, Data Storytelling, Forecasting, Analytical Modeling, Data Warehousing, Python
Specialization
Candidates should have advanced SQL skills and experience with BI tools, along with a good understanding of marketing analytics concepts. Familiarity with forecasting and analytical modeling is also desired, along with the ability to present insights to non-technical stakeholders.
Experience Required
Minimum 2 year(s)
Data Analyst at Agri Foods
Burnaby, British Columbia, Canada - Full Time
Skills Needed
Data Validation, Data Migration, Reporting, Testing, Governance Support, Training, Continuous Improvement, Analytical Skills, Negotiation, Project Management, Attention To Detail, Troubleshooting, Communication, Presentation Skills, Power Bi Reporting, Api Connections
Specialization
Candidates need a Bachelor's degree or College Diploma in a relevant field and at least three years of experience working with business systems, including one year in supply chain or a similar area. Essential skills include strong analytical and troubleshooting abilities, excellent communication, and proficiency with technologies like NetSuite, SQL, and Power BI.
Experience Required
Minimum 2 year(s)
Data Modeler at FULFILLMENT IQ INC
Toronto, Ontario, Canada - Full Time
Skills Needed
Data Modeling, Dimensional Modeling, Snowflake, Supply Chain, Logistics, Warehousing, Sql, Kimball Methodology, Data Lake House, Gcp, Cdc, Data Governance, Mdm Modeling, Json Modeling, Kafka, Feature Store Design
Specialization
Candidates must possess a minimum of 6 years in data modeling roles, including logical, physical, and dimensional modeling, coupled with over 3 years of experience using Snowflake for data engineering and warehousing. Essential domain knowledge includes supply chain, logistics, and warehousing data, alongside strong expertise in SQL and dimensional modeling (Kimball methodology).
Experience Required
Minimum 5 year(s)
Data Analyst at Bayshore Healthcare Ltd.
Markham, Ontario, Canada - Full Time
Skills Needed
Data Compilation, Data Processing, Reporting, Data Mapping, Report Design, Process Improvement, Data Inquiries, Data Integrity, Policy Development, Data Analysis, Trend Identification, Critical Thinking, Problem Solving, Excel, Power Bi, Microsoft Office
Specialization
Candidates need a Diploma or Degree in Statistics, Data Analytics, or Clinical/Health Informatics, coupled with 12 to 23 years of experience in data management, with clinical/healthcare experience being preferred. Essential abilities include deriving insights from data, fostering collaboration, exceptional analytical skills, and proficiency with data visualization tools like Excel and Power BI.
Experience Required
Minimum 10 year(s)
Data Analyst at NFI Parts
Winnipeg, Manitoba, Canada - Full Time
Skills Needed
Data Cleansing, Data Auditing, Data Transformation, Data Classification, Data Management, Data Validation, Cross Referencing, Erp Systems, Product Data Management, Data Governance, Process Improvement, Sql, Python, Analytical Mindset, Communication, Documentation
Specialization
Successful candidates must have education in Data Science, Statistics, or Business Analytics, along with an understanding of aftermarket parts structure, catalog data, and cross-referencing. Required experience includes data cleansing, auditing, transformation, classification, and proficiency with ERP systems and data management tools like SQL or Python.
Experience Required
Minimum 2 year(s)
Data Analyst at Microsoft
Vancouver, British Columbia, Canada - Full Time
Skills Needed
Sql, Python, Azure Databricks, Synapse, Power Bi, Fabric, Machine Learning, Data Modeling, Agile Methodology, Data Governance, Data Platforms, Data Flows, Dax, Ctes, Pyspark, Data Factory
Specialization
Candidates require a Master's degree with 2+ years of experience or a Bachelor's degree with 4+ years of experience in data analysis, business intelligence, or a related field, including experience with Power BI modeling and DAX. Preferred qualifications include knowledge of SQL (window functions, CTEs), Python/PySpark, and experience with the Azure data stack like Fabric, Synapse, and Databricks.
Experience Required
Minimum 5 year(s)
Data Analyst at Tangam Systems
Waterloo, Ontario, Canada - Full Time
Skills Needed
Data Analytics, Data Visualization, Sql, Excel, Business Intelligence Tools, Communication, Statistical Concepts, Tableau, Data Modeling
Specialization
Candidates need 1-4 years of data analysis experience, proficiency in Excel, experience with business intelligence tools like Tableau, and knowledge of relational databases with the ability to write SQL. A Bachelor's degree in a quantitative field like Applied Mathematics, Statistics, Business, Economics, or Computer Science/Engineering is required, along with the ability to travel quarterly.
Data Engineer - Databricks at The Citco Group Limited
Toronto, Ontario, Canada - Full Time
Skills Needed
N/A
Specialization
The job posting does not specify detailed requirements or qualifications. However, it implies a need for relevant experience in data engineering.
Experience Required
Minimum 2 year(s)
Data Engineer at Intrado Life & Safety, Inc.
, , Canada - Full Time
Skills Needed
Data Engineering, Azure Data Factory, Databricks, Python, Sql, Etl/Elt, Data Quality Assurance, Api, Microsoft Dynamics 365 F&O, Salesforce, Servicenow, Llm Application, Data Pipelines, Data Transformation, Schema Validation
Specialization
Candidates must possess 5+ years of experience building and maintaining large-scale ETL/ELT pipelines in a cloud environment, with strong proficiency in Azure Data Factory, Databricks, SQL, and Python. Experience with enterprise platform APIs and using LLMs to streamline workflows is also required.
Experience Required
Minimum 5 year(s)
Data Engineer at NTT DATA
Montreal, Quebec, Canada - Full Time
Skills Needed
Data Engineering, Python, Sql, Data Pipelines, Data Warehousing, Cloud Technologies, Performance Tuning, Data Validation, Agile Practices, Data Solutions, Data Integration, Analytical Skills, Problem Solving, Communication Skills, E R Data Models, Ci/Cd Tooling
Specialization
Candidates should have over 4 years of experience in data engineering or analytics, with strong skills in SQL and Python. Experience in hybrid data environments and performance tuning is also required.
Experience Required
Minimum 5 year(s)
Data Engineer at Intrado Life & Safety, Inc.
, , Canada - Full Time
Skills Needed
Data Engineering, Azure Data Factory, Databricks, Python, Sql, Etl/Elt Pipelines, Data Quality Assurance, Api, Microsoft Dynamics 365 F&O, Salesforce, Servicenow, Llm Application, Data Ingestion, Data Transformation, Schema Validation
Specialization
Candidates must possess over 5 years of experience in Data Engineering, focusing on large-scale ETL/ELT pipelines within a cloud environment, demonstrating proficiency in Azure Data Factory, Databricks, SQL, and Python. Required qualifications also include experience with enterprise platform APIs and using LLMs to streamline workflows.
Experience Required
Minimum 5 year(s)
Data Engineer at Xideral
Montreal, Quebec, Canada - Full Time
Skills Needed
Data Engineering, Etl, Elt, Data Pipeline, Sql, Python, Data Modeling, Architecture, Business Intelligence, Cloud Bi, Rest Api, Agile, Data Profiling, Gdpr, Sox, Ci/Cd
Specialization
Candidates must have a Master’s degree in Business Intelligence or equivalent and strong hands-on experience with technologies such as Snowflake, DBT, and Microsoft SQL Server. Proficiency in SQL and Python, along with experience in data modeling and architecture, is also required.
Experience Required
Minimum 5 year(s)
Data Engineer at Odaia Intelligence Inc.
Toronto, Ontario, Canada - Full Time
Skills Needed
Data Engineering, Aws, Snowflake, Python, Etl Processes, Sql, Data Integration, Data Management, Automation Tools, Data Pipelines, Apis, Data Models, Collaboration, Healthcare Data, Veeva, Salesforce
Specialization
Candidates should have over 3 years of experience in data engineering and strong proficiency in AWS and Python. Familiarity with data orchestration tools and experience with healthcare-related datasets are also important.
Experience Required
Minimum 2 year(s)
Data Engineer at Charger Logistics Inc
Brampton, Ontario, Canada - Full Time
Skills Needed
Sql, Python, Risingwave, Dbt, Postgresql, Bigquery, Snowflake, Mongodb, Kafka, Airflow, Gcp, Alloydb, Cdc, Pandas, Sqlalchemy, Git
Specialization
Candidates must possess a Bachelor's degree in a related field and have 5+ years of data engineering experience, specifically requiring expertise in SQL, Python, RisingWave, AlloyDB, and CDC. Expert skills in DBT, advanced SQL, Python libraries, and production experience with Kafka, Airflow, and GCP are mandatory.
Experience Required
Minimum 5 year(s)
Data Engineer at Takeaway
Calgary, Ontario, Canada - Full Time
Skills Needed
Sql, Dbt, Python, Gcp, Data Engineering, Data Analytics, Data Management, Infrastructure Initiatives, Cross Functional Collaboration, Stakeholder Management, Logistics Systems Analysis, Communication Skills
Specialization
Candidates must possess prior experience in a Data Engineering position, demonstrating advanced SQL skills and familiarity with relational databases, preferably including data transformation tools like dbt. Proficiency in Python or similar programming languages and experience with cloud platforms, especially GCP, are also required.
Experience Required
Minimum 2 year(s)
Data Engineer at Blackline Safety
, , Canada - Full Time
Skills Needed
Data Pipelines, Cloud Tools, Real Time Data, Batch Data, Etl/Elt, Data Lake, Data Warehouse, Data Lakehouse, Sql, Python, Java, Scala, Aws Services, Apache Kafka, Terraform, Github Actions
Specialization
Candidates should be pragmatic builders passionate about data-driven decisions, comfortable with clean architecture and thorough documentation, and capable of working in agile teams. Required technical experience includes 3 years in a Data Engineer role, proficiency in SQL, Python, Java, and/or Scala, and experience with event-driven architectures and various AWS data services.
Experience Required
Minimum 2 year(s)
Data Engineer at Peak Power Inc
Toronto, Ontario, Canada - Full Time
Skills Needed
Python, Data Pipelines, Cloud Applications, Postgres, Timescaledb, Influxdb, Apache Airflow, Luigi, Pulumi, Terraform, Kubeflow, Sagemaker, Apache Spark, Apache Flink, Amazon S3, Generative Ai
Specialization
Candidates must possess a Bachelor's degree in a technical field or equivalent practical experience, along with over 5 years of experience as a data engineer or software engineer utilizing Python to build and deploy data pipelines. Required experience includes working with containerized cloud applications, relational/time series databases, and workflow orchestration tools like Apache Airflow.
Experience Required
Minimum 5 year(s)
Senior Data Scientist, Clinical Research at Function Health
Canada, Kansas, United States - Full Time
Skills Needed
Data Science, Clinical Research, Machine Learning, Epidemiology, Outcomes Research, Statistical Modeling, Causal Inference, Longitudinal Analysis, Survival Analysis, Python, R, Scientific Writing, Risk Stratification, Biomarker Clustering, Physiology, Pathology
Specialization
Candidates must possess a PhD in a natural science or an MD with strong quantitative research experience, coupled with 5+ years in data science or clinical research, including demonstrated experience publishing scientific papers. Strong statistical foundations and proficiency in Python or R are essential for this senior, research-focused position.
Experience Required
Minimum 5 year(s)