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Experience with some of the following: Kubernetes, Docker, Helm Charts, Hadoop, Cloudera, Hortonworks, Apache Storm, Apache Spark, HBase, YARN, map-reduce, big-data analytics, semantic-web (RDF, OWL), Hive, Elastic Search, MS SQL Server Big Data, and graph-databases.
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Minimum 5 years of experience in Data Science, Data Engineering, or a closely related field, with a focus on using open-source software and Docker in a production environment.
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Senior Java/Big Data Developer – FX TradingJob Description:Our client within Global Markets is embarking on a major data transformation initiative in the FX Sales & Trading domain.
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Proficient in SQL Server with at least 3 years of hands-on experience; familiarity with SSMS, Azure DevOps, and MySQL. A solid understanding of environmental science; a degree in Data Science, Environmental Science, Engineering, or related fields is required.
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Design, develop, and implement data architecture solutions using SQL Server, Microsoft Azure, Snowflake, and Databricks. The ideal candidate will have extensive experience in designing and implementing data solutions, with proficiency in SQL Server, Microsoft Azure, Snowflake, Databricks, and other relevant technologies.
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Data Ingestion and Storage using Azure Data Factory, Azure Databricks, Azure SQL, SQL Server, Azure Data Lake, Azure Synapse Analytics, and/or Cosmos DB. Must have 1 year of experience with analytics and big data technologies within Microsoft Azure, using tools such as Azure Data Factory, Azure Machine Learning, Azure Cognitive Services, Azure Databricks, or Azure Synapse Analytics.
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Application software and training, including Ellucian CRM Advance, MS SQL Server Management Studio, SQL Developer, Visual Studio, Tableau, Project Management Software, Cognos, Power BI, Postman, XRMToolbox, Anthology/Encompass, and Hivebrite.
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Exposure to big data approaches: PySpark, Apache Spark, Azure Databricks, Azure SQL, Azure ML, Java. Bachelor’s degree in computer science, Data Science, Machine Learning, or relevant technical field from an accredited institution required.
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Utilizing ElasticSearch and other big data technologies like MapReduce, Apache Spark and Scala. ETL developer with Elasticsearch/Apache Spark/Scala experience. Working within an Amazon Web Services (AWS) cloud environment and utilizing tools such as SMS, Data Pipeline, Relational Database (RDS), Cloudwatch, EC2, EBS, S3, KMS, or SMS.
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Atlas Tech is looking for a Database Architect in Alexandria, we are seeking the individual to lead our organization through a critical migration project, transitioning from Oracle Apps EBS Suite, SQL Server databases, SharePoint lists, and various unstructured data sources to Microsoft Dynamics 365 CRM. This role will require a blend of technical expertise, strategic planning, and team leadership to ensure a seamless, efficient migration process.
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We are seeking an experienced Databricks Developer to join our data engineering team. Utilize Azure Databricks platform to architect and construct robust data pipelines for big data solutions.
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MS/PhD in a quantitative or scientific discipline (e.g. engineering, mathematics, statistics, computer science) with 8-10+ (BS) 6-8+ (MS) or 3-5+ (PhD) years of relevant data science/analytics experience in the pharmaceutical industry.
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Proven track record of consistently architecting, designing, developing and/or implementing an endto-end Big Data Lake, Business Intelligence Tableau/Power BI/Qlik, Data Science project.
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Graduate degree in computer Science or related field with eight years of professional experience as an ETL Developer utilizing Informatica, IBM DataStage, SQL, PL/SQL, and Python.
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In Computer Science, Information Systems, or related field 2+ years of database development and data analysis experience 2+ years of data transformation experience A good understanding of dimensional models (Star or Snowflake schemas) Proven experience as a BI Developer or similar role, with a strong understanding of business intelligence concepts and methodologies Proficiency in SQL programming and experience with relational databases (e.g., SQL Server, Oracle, MySQL, etc.
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