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5+ years in developing and optimizing Big Data applications using Java/Scala and Spark on Cloudera/HDP. Role: Java/Big Data Developer. Experience in building data pipelines on AWS/Azure and/or Databricks.
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Minimum 10 years of designing and implementing an operational production grade large-scale data solution on Microsoft Azure Snowflake Data Warehouse. Strong understanding or Snowflake on Azure Architecture, design, implementation and operationalization of large-scale data and analytics solutions on Snowflake Cloud Data Warehouse.
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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.
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Experience with enterprise risk management, ethics, compliance, and regulatory processes relevant to data and technology industries. Solid understanding of enterprise risk management, ethics, contract law, corporate governance principles, and regulatory compliance requirements relevant to data and technology industries.
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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.
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Preferred Qualifications:Expertise in the following security domains: GRC, IAM, Security Architecture, Data Protection. Experience with data privacy regulations and programs. Industry-recognized certifications such as CISSP, CISM, CRISC, CCSP, et al. Please note that any offer of employment will be conditional upon a background check, including a criminal record check.
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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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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. Experience with data cloud platforms and services like BigQuery, Snowflake, Redshift, or similar.
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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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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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The Senior Fisheries Biologist will:Oversee the collection of fish, fish habitat, and aquatic data. Experience with designing and implementing scientific studies/field programs and managing field teams and the collection of fisheries/aquatic baseline data.
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Ultimately, you should be able to contribute to business growth by creating and maintaining long-term client relationships and taking the lead for our clients on big-picture, strategic thinking, and holistic channel planning.
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big data jobs Company: Open Systems Technologies in Canada
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