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6 months contract to startPhysical Presence: Hybrid - 3 days per week in office Description; Data Architect Must Haves - 7 – 10 years of experience as a Data Architect - SAP Hana - GCP Big Query - Extensive experience working on Data projects at an Architect level - Reporting experience - Extensive Data movement experience - ETL - Databases - SAP tools - Data centre migration to cloud experience Nice to haves - SAP SuccessFactors - Sybase IQ - Python.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Utilize BigQuery for data warehousing and analysis, and Pub/Sub for real-time messaging. Our client is looking for a Cloud Data Engineer with a deep understanding of GCP cloud infrastructure, automation principles, and a security-first mindset.
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Familiarity with Azure Data Lake Storage, Azure Databricks, and Azure Synapse Analytics for big data and analytics solutions. Experienced on system integration and data migration within Dynamics 365.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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In Data Lake / Data Warehouse,Une expérience dans l'un des domaines suivants est un avantage :Méthodologie AgileIndustrie du transportConnaissance de l'environnement Azure Big DataConnaissances pratiques requises: the Azure stack: ADLS Gen 2, Azure Databricks, Azure Synapse, Azure Functions, Azure DevOps. La connaissance de l'un des sujets suivants est un atout:Oracle E-Business Suite (EBS), plus particulièrement BI Publisher.
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Experience with Cloud computing platforms and toolchains with big data analytics (e.g. Snowflake, DBT, Tableau Prep), with practical experience in integrating cloud services with conventional hosting/delivery models is considered an asset.
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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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The Manager of Financial Planning & Analysis will oversee the processes for budgeting, financial forecasting, regional and divisional analytics, and variance analysis. Own the company financial models (P&L, Balance Sheet, Cash Flow) including forecasting, budgeting, and long-range planning.
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Financial planning, analysis, and management. · Support Executive Team and managers with financial planning, financial modelling, business case analysis, and program financial reporting.
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E Data Engineer expérimenté pour rejoindre son équipe et contribuer à la mise en place de Unity Catalog dans Databricks pour notre client. Description du mandat - Data EngineerUn de nos clients dans le secteur de l'énergie est à la recherche d'un.
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Solid background in big data technologies and data processing frameworks like Hadoop, Spark, and Kafka. Proficient in programming languages such as Python, and experience with data analysis and visualization tools.
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Demonstrated expertise in financial planning, analysis, and reporting, with the ability to translate data into actionable insights. Reporting directly to the CEO, you will be responsible for providing strategic financial leadership, driving financial planning and analysis, and ensuring the company's financial health and sustainability.
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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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Proficient with querying big data technologies (e.g. Snowflake, Presto, Hive, Hadoop) Experience developing adversary profiles groups based on Threat Intelligence data. Role : Detection Engineer (Software Security)Location: Toronto (Hybrid – Three days in a week )Hire Type : Full TimeJDAs a Senior Engineer, you will build distributed data processing solution and highly loaded database solutions for various businesses cases including reporting, product analytics, marketing optimization and financial reporting.
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Actively participates in QMS activities, including but not limited to management reviews, design control, risk management, supplier management, quality control and production, medical device file maintenance, nonconformances, corrective and preventive actions (CAPA), post-market surveillance including complaint handling and adverse event reporting, analysis of data, training, internal and supplier audits, change control, product releases, etc.
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Experience with data technologies, distributed systems, data modeling & statistical analysis. Passionate about automation, data programming, data analysis, and productivity.
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