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Extensive experience working with big data technologies, including PySpark, Databricks, and Apache Spark, for large-scale data processing and analysis. 5-8 years of hands-on experience in data science, with a strong focus on machine learning, predictive analytics, and statistical modeling.
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Strong Experience building big data pipelines for ETL focusing on time series data using: PySpark, Python (native), Azure Data factory, Databricks on Azure. Forte expérience dans la construction de pipelines big data pour l'ETL en se concentrant sur les données de séries temporelles en utilisant : PySpark, Python (natif), Azure Data factory, Databricks sur Azure.
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Demonstrated experience designing and deploying various analytical data modeling methodologies (e.g., Star, Snowflake, Kimball, Inmon, Data Vault 2.0) Knowledge of data architecture, data engineering, and ETL principles.
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And Organizational Skills: Keen attention to detail and precision in managing complex data sets and analytics. Founded in 2010, Ascend Fundraising Solutions online and in-venue fundraising platform and solutions have been used by some of the world’s most notable non-profit organizations such as United Way, Vancouver Canucks foundation, Canadian Olympic Foundation, Canadian Institute for the Blind, Kansas City Chiefs foundation , Boston Red Sox foundation, Big Brothers Big Sisters, Thunder Bay Regional Health Science Foundation, Arizona Humane Society and many others.
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Experience in any cloud data warehouse like Synapse, Big Query, Redshift, Snowflake. Optimize Databricks jobs for performance and scalability to handle big data workloads.
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We have a very active relationship with Big Brothers Big Sisters who we support with their work of supporting youth. You will be recruiting for roles such as; CFO, Controller, Senior Accountant, Senior Financial Analyst, Accounting Manager, Corporate Accountant, Manager Financial Planning & Analysis, Senior Property Accountant, Recovery and Revenue Accountant, and more.
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We offer an array of services including Core Business Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud Adoption, Mobility, Digital Adoption, Agile & DevOps, Quality Assurance & Test Automation.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience in creating python/SQL notebooks to transform & load data using Databricks. 2+ Experience in developing Data Factory pipelines that are parametrized and reusable and worked on most of the ADF control flow activities like Get Metadata, Lookup, Copy, For Each, Databricks, Stored Procedure, If, Web etc.
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10+ years of experience in data analysis developing business intelligence and reporting in a medium to large size corporate environment demonstrating detailed knowledge of BI functions such as analytics, data modeling & data mining, reporting, report conversion and data cleansing.
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SummaryWe are looking for a Clinical Data Manager to manage CDM projects and resources to ensure quality, accuracy and consistency of clinical data. · Gather database design and configuration specifications from the Sponsor· Review DB designs to ensure consistency with protocol requirements· Review custom data validation rules and checks for completeness and logic· Performs UAT testing of database design and design updates, ensures all test documentation is complete prior to DB release· Author and update CDM control documents, including Data Management Plan, SAE reconciliation, Laboratory / PK reconciliation plans, etc.
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Drive the adoption of the Big Data Analytics platform as part of the larger data strategy. Develop next generation Distributed Streaming Data Pipelines and Analytics Data Stores using frameworks like Flink, Spark Streaming, and others.
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Curious about applying data and analytics to solve business problems. The Project Analyst role will provide a key learning opportunity in the discipline of Marketing Mix Modeling, including data ingestion, data coding (in R/Python), data harmonization, data transformation, modeling, analysis, dashboard reporting, and slide reporting.
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Experience with Big Data technologies such as Spark/PySpark, Hive, Pig, and Kafka is also a plus. BS/MS in Computer Science, Information Systems, Data & Analytics or a related field.
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Perform operational risk assessments by leveraging data analytical and advise business stakeholders on risk mitigation strategies and track them to completion. Lead or assist in the development, implementation and improvement of model risk management framework, Data governance framework and AI risk management and procedures to ensure effective risk controls and mitigation.
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Data Analytics: Collect, process, and analyze large volumes of data from various OT systems, including SCADA, PLCs, and sensors, to develop value-generating applications. AI, you will be responsible for using advanced data analytics and machine learning techniques to derive actionable insights from our customers’ operational technology systems.
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big data jobs Title: business analytics manager in Canada
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