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Big Data technologies - Scala, Spark, Kafka, Hadoop. Java 8/11 version, Spring boot, Spring framework, Microservices, basics around SQL, Database (No SQL preferred), Message platform (like Kafka / JMS / MQ equivalent.
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Position : Big Data Administrator. Good knowledge with Azure Databricks, Azure Data Factory, ADLS. Must have Spark, Hadoop, Hbase, Kafka, Yarn, Airflow, Cloud. Strategic Recruitment Manager - Talent Acquisition Group.
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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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MSL is known as a strategic communications powerhouse, with deep expertise in consumer and corporate PR. Specializing in delivering multichannel, creative campaigns for some of the world’s most iconic brands, all our campaigns lead with creative storytelling and are rooted in big ideas driven by sophisticated data insights.
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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. As 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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10+ years of experience in Data Engineer with 5+ years of strong experience in GCP Big Query, Composer, Airflow, Dataflow, PubSub , stack driver, DataProc. Proficient with Azure Data Lake, Azure Data Factory, Azure SQL, Azure Databricks, Azure Synapse Analytics or equivalent tools and technologies.
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Additionally, you’ll need expertise with optimizing Apache Spark data processing and deep understanding of big data concepts and implementation patterns. In this role, you’ll be partnering with key stakeholders, learning and understanding the business drivers, and focusing on designing, implementing, and maintaining robust data processing pipelines to support their organization’s data needs and advancing their capabilities pertaining to data engineering, BI, AI, and ML. You’ll be working on a hybrid model and should expect to work on-site at their headquarters in Toronto 3x per week and 2x per week remotely.
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The product leverages cutting-edge cloud, big data, and open source technologies, frameworks, and toolsets. TalentNeuron stands as the world's foremost provider of global talent demand and supply data, offering real-time insights and predictive analytics on the job market, location, and competitive intelligence to assist clients in making informed human capital decisions, streamlining workforce access, and advancing corporate diversity, equity, and inclusion initiatives.
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Knowledge of big data tools (Spark, Kafka etc) you will get the opportunity to build one of the most scalable and performant data platforms, not only in the finance space, but in the world.
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Transformation numérique, digital, big data, mobilité, cloud, hacking. Nous avons aussi à cœur de proposer à nos collaborateurs des mandats dont ils ressortiront grandis. Aussi, pour optimiser cet épanouissement, nous offrons à notre équipe et à toutes les personnes qui nous rejoignent des conditions salariales concurrentielles et un environnement et des pratiques profondément marqués par notre ancrage fort sur la RSE. Numérique responsable, qualité de vie au travail, expérience collaborateur bonifiée, valorisation des comportements solidaires.
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Senior Java/Big Data Developer – FX Trading. Demonstrated understanding of enterprise data warehouse, big data, BI & analytics, content management and data management.
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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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Hands on years’ work experience working with Google Cloud Services like Big Query, Looker, Dataflow, Hive , Spark , Airflow. Data Proc, Cloud Functions, Cloud Data Fusion, Cloud Composer etc.
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10+ years of experience in big data analysis, data engineering, or data architecture field. Hands on experience in big data tools and technologies, as well as data visualization and reporting tools such as PowerBI.
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Develop and maintain big data infrastructure using Spark, Scala, Hive, Hadoop, SQL, and UNIX. As a Sr. Bigdata Developer, you will be responsible for developing and maintaining our big data infrastructure, including Spark, Scala, Hive, Hadoop, SQL, and UNIX. You will work closely with our team of data scientists and engineers to build and optimize our big data solutions.
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