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Experience with financial datasets (e.g. Refinitiv, S&P, Bloomberg) is a big plus. Hudson River Trading (HRT) is looking for a Data Production Engineer to join our Data team. Onboard datasets, explore data, and automate tasks using a modern Python data stack.
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In HADOOP , you'll be given an introduction to BIG DATA, APACHE HADOOP, HADOOP ECOSYSTEM, CLOUDERA QUICKSTART VM along with core concepts of the Hadoop framework including MapReduce, HIVE, PIG, SQOOP, FLUME, HBASE, OOZIE.
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2+ years of experience with data gathering and analysis tools (e.g., SAS, Python, SQL, BigQuery, Vertex AI, Business Objects, Alteryx) and visualization tools (e.g., Qlik Sense, Tableau, Power BI.
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5+ years hands-on experience with the Big Data stack (HDFS, SPARK, MapReduce, Hadoop, Sqoop, Pig, Hive, Hbase, Flume, Kafka) A&I Data Service help to create data-driven organizations by providing the right solutions in Big Data technologies, Master Data Management, Business Intelligence Analytics by taking advantage of the Cloud based computing and storage.
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I worked extensively on POCs, Consulting Solutions, ETL Framework/ Architecture, Big Data technologies, Talend Master Data management, Performance optimization, ETL techniques, pilot projects, SQL Views etc.
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Experience with cloud computing platforms (, AWS, Azure, GCP) and cloud native computingProficiency in programming languages like Python, Java, Scala, C#, SQLExpertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databasesKnowledge of data modeling, ETL processes, and data warehousing conceptsExceptional problem-solving abilities and teamwork skills.
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Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query) Expanding, scaling, and standardizing the core foundational principles through consistent observability, lineage, data quality, logging, and alerting across all engineering teams in the Data organization is imperative to the creation of a single pane of glass.
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Experience reviewing in-vivo and in-vitro data including, but not limited to, inhalation, pathology, chemistry, PCR, and ELISA. Mentor and train junior staff in Data Coordinator duties.
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Manage data ETL to analyze the state of our clients’ businesses across a variety of systems, channels and data sources (paid search, display media, website, social media, advertising campaigns, offline media, brand sales and brand equity.
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Will play a critical role supporting the entire Investments platform of BIG, working directly for the Chief Investment Officer as its “right hand person” through investment evaluation, pipeline organization, financial modeling, market research, etc.
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Bonus Points:Experience with big data tools e.g. Snowflake, Apache Spark, Flink, Athena etcExperience in the Securities Finance domain. You have hands-on experience with ETL toolchains e.g. Argo, Apache AirflowYou are a data modeling pro; you understand how to create unified definitions of types from different source data representations.
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Develop novel metabolomics & lipidomics sample preparation and data collection methods that further internal biomarker discovery effort. Basic programming skills relevant to metabolomics & lipidomics data analysis (i.e. Python, R, etc.
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Best-in-Class Tech Stack: Work with top-tier tools like Segment, mPartical, PowerBI, Tableau, Microsoft Azure, Google Big Query, Python, Google Workspace, Slack, ClickUp, Zoom and more ensuring you have the resources you need to excel in your role.
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We are seeking an experienced big data engineer to work on a variety of projects. The ideal candidate will have at least six years of data software engineering experience in a big data environment dealing with complex systems.
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Data & Analytics : BigQuery, Supermetrics, Google Analytics, Adobe Analytics, Looker Studio, Tableau. Lead data collection from multiple digital media channels and integrate data with BigQuery, Supermetrics, and other ETL tools.
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big data jobs Title: sonographer in New York, NY
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