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We are currently seeking a Senior Big Data Solutions Architect with specialized expertise in both technology and functional aspects, particularly within FX trading and Wealth Management domains.
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Job Schedulers – Airflow, Oozie or other ETL Scheduler Data Analytics – AWS Cloud Native Services Big data architecture – Python, Scala, Hadoop Bigdata, Hive, Pyspark etc. Lead development of digital architecture blueprint, technical roadmaps, technology frameworks for software, data, integrations and infrastructure solutions Lead proposals for Digital Transformation and Cloud Computing and High-Performance Computing RFPs Provide thought leadership on Digital architecture roadmap to Business and IT leaders and enterprise architecture teams.
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Delivery experience in Data Engineering with Google Cloud Platform including Big Query, Dataflow, Cloud Data Fusion, Cloud Composer, Dataproc, Cloud Pubsub, Cloud Function etc. They will use relevant statistical techniques, machine learning models and artificial intelligence algorithms to analyze data, design data models and derive insights to influence actions that maximize business value and effectiveness for the commercial technology segments.
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Use leading open source big-data tools, such as Spark, Hadoop, Scala and Elasticsearch. Excellent technical skills including hands-on knowledge of at least one big data technology such as Spark, Hadoop, or Elasticsearch.
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Then come and join our Data & Analytics team at Retail Business Services, a proud company of Ahold Delhaize, a startup environment in the middle of a big corporate office. Exposure to big data technologies.
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Deliver datasets from onboarding through mapping and automated DQ so they can be handed off to the Data Operations team for DQ maintenance and consumed by research teams and production. Experience in building and designing solutions for data warehouses and experience in working with large data sets in Oracle and Snowflake.
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We are seeking a Data Science Associate to join the Fidelity Digital Asset Management business and report directly to the VP, Data Science. Proficiency in complex data extraction or processing using Python, SQL, Snowflake.
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As a Senior Data Analyst, you will work closely with the consulting, software development, and model development teams to ensure that our models are meeting the needs of the clients and software as well as capturing the meteorology and atmospheric behavior of the peril at hand.
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Define and deliver consistent SQL standards, methodologies, guidelines & techniquesDiagnose complex problems, including performance issues and work with seniors for implementing long term solutionsWorking knowledge on Datawarehouse is a mustUnderstanding of Big Data Technologies is preferred, especially on Databricks implemented in AWS Cloud infrastructure.
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You will work closely with other engineers, data scientists, and business leaders to ensure that our data platform is available, secure, and reliable. You have 8+ years of industry experience and proficiency in building distributed data pipelines for both batch and real-time (experience with Databricks, Spark, Hive, Iceberg, Kafka, Snowflake is helpful, but not strictly required.
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Demonstrated ability using data from different US Census Bureau sources (e.g., the Decennial Census, the American Community Survey, the Current Population Survey); Conduct data analysis using US Census Bureau and other publicly available sources and act as a data analysis resource for other Boston Indicators teammates.
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Cloud Big Data skills, such as Azure, AWS, Snowflake. Proven experience as a Data Analyst or Business Data Analyst. We are searching for an experienced and dynamic Senior Clinical Data Analyst and Modeler to join our team.
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The candidate will be a catalyst in ensuring adoption and proper usage of the Data Governance framework across the Capital Markets business. Periodic reviews of business glossary, data dictionary, and reports catalog.
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Leading the configuration of OneStream including but not limited to : Workflows, Data Sources, Transformation Rules, Business Rules and Calculations, Dashboards, Data Management Sequences, Cube / Master Data, System Security.
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Duties include:·Integrate and organize existing data from many modalities, including 16S amplicons, shotgun metagenomics, multiplex ELISA, metabolomics, and more. The person hired will work under the supervision of Dr. Kwon conducting patient-oriented translational research involving curated, high dimensional, multiomics data integration, including analysis of metagenomics, metatranscriptomics, metabolomics, host single cell transcriptomics and clinical metadata.
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big data jobs Title: business analyst in Boston, MA
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