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Experience with at least 3 of the technologies/tools mentioned here: HAProxy, Kafka, Big Data/ Hadoop, Presto, Spark, Airflow, Pinot, Druid, Opensearch, Gcp, Data Proc. Experience scaling production systems running Big Data tools like Spark, Hadoop, Apache Druid, Looker.
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Strong knowledge of data management and modern data warehouse (Snowflake, Big Query) and ELT data acquisition/model building tools (Rivery, Fivetran), as well as dbt. Drive business impact by identifying and acquiring or mining data from multiple and diverse sources for actionable insights (including digital session web data, Salesforce and other CRM/CDP/IAM platforms, Google Analytics and Google BigQuery, etc.
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The company utilizes cutting-edge cloud-based technology, including AI, Robotic Process Automation (RPA), IVA and bots, Actionable Analytics and reports leveraging Big Data, and more. The company utilizes cutting edge cloud-based technology, including automation (RPA), Actionable Analytics, NLP, Chatbots, Big Data and more.
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Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
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In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies. Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire.
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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. The Asset Management Quant Research Engineering team is looking for a Director of Data Engineering who wishes to take on the challenge of building a world-class data operation.
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Knoledge in Databricks, PowerBI, programing languages including SQL, Python and PySpark, data principles including data pipeline, streaming data, data storage, ETL, data integration, database design Leadership (Vision, strategy and business alignment, people management, communication, influencing others, managing change.
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Deep domain experience with financial datasets including FactSet, Bloomberg, IBES, CompStat, S&P Global, Worldscope, Morningstar, MSCI, Reuters, IDC, Markit, BARRA, Axioma, Northfield, and PORT A proven track record of working with complex data environments and associated technology and analytics infrastructure needed to support these environments.
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The Department of Data Sciences at Dana-Farber Cancer Institute drives cancer research through innovation and collaboration in the quantitative sciences. Statistical Skills: Expert at statistical methodology, and the use of statistical software, coding, data analysis and effective presentation of results.
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Data quality surveillance of CRF and external/non-CRF clinical trial data (e.g. Biosample Lab Data, Biomarker Data, Imaging) in collaboration with other Clinical Operations roles, Medical Monitors, Translational Medicine, Clinical Pharmacology, Biostatistics, and other internal and external stakeholders.
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10 or more years and multiple implementations of hands-on big data, data warehouse and/or analytics data engineering experience using RDBMS and NoSQL data platform technologies, ETL, and Data ingestion protocols.
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Advances in big chemical data, massive computing power, artificial intelligence, and molecular dynamics simulation are changing the way we develop new drugs. At 1910 Genetics, we put computation at the heart of drug discovery, blending expertise in computational chemistry, structural biology, pharmacology, genetics, data science, and software engineering to develop drugs for previously undruggable targets.
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Design, develop, and implement solutions for sanctions screening applications using technologies such as Unix, Oracle, MQ, Big Data - Hadoop, AWS, Databricks etc. Knowledge of Ausosys, Git Hub, Big data is a plus.
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The Talend ETL Developer is a key member of CHIA's software development organization and our Data Operations and Technology team reporting to the Associate Director of Master Data Management and ETL Design.
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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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big data jobs Title: developer in Arlington, MA
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