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Expertise supporting data interfaces with MES, OSI PI and Data Lake. Expertise in building graphical user interfaces that support data access, visualization and process leveraging tools such as OSI Pi Vision, Infobatch and process data analytics platforms such as Seeq.
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3 years of experience in the past 4 years in working with years of experience in big data technologies such as Apache Hadoop, Apache Spark, or Apache Kafka can be beneficial, as they integrate with Azure Synapse Analytics and enable large-scale data processing and analytics.
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We seek to fill an ETL Data Engineer role for OCTO - Office of the Chief Technology Officer in the DC Government. · Familiarity/experience with various data formats, including database-specific (Oracle, SQL Server, DB2, QuickBase), text formats(CSV, XML), and Binary(Parquet, AVRO.
$100,000 - $107,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Data Science intern on our team, you’ll be working on various algorithms and using Natural Language Processing (NLP) methods to work on some of our most interesting problems using expertly curated datasets.
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Define and build analytic data pipelines to standardize data across Web, display, Search, Print, Social Media, Patient Apps in addition to key patient service offerings of in-person/virtual nurse and insurance support in partnership with our technology team.
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Familiar with various data transfer methods/protocols including but not limited to APIs, feeds, S3, S/FTP, Google Cloud Storage, querying data out of data warehouses, Snowflake etc.
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Own reference data and investment characteristics of multiple security types while supporting Portfolio Management, Quantitative Research, Trading, and other Firm constituencies. The Data Management Analyst works closely with personnel in Investment Management, Performance Analytics, Securities Operations, IT and other groups and clients, as needed.
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Experience building and managing production-grade data pipelines using tools such as Airflow, dbt, DataHub, MLFlowExperience building and managing production-grade data platforms using distributed systems such as Kafka, Spark, Flink and/or others.
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Perform experiments and data review according to SOPs and protocols. Job Title: Bioassay Scientist (Cell Culture, ELISA, qPCR, Flow Cytometry) ELISA, FRET, qPCR, cell culture and aseptic technique, cell-based potency assays, flow cytometry or plate-based biochemical assays (impurity, HCP.
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We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and/or natural language processing to join our team.
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You will be working with all levels of technology from backend data processing technologies (Databricks/Apache Spark) to other Cloud computing technologies / Azure Data Platform. Significant hands-on experience with Azure services such as Azure Data Factory (ADF), Azure Databricks, Azure Data Lake Storage (ADLS Gen2), Azure SQL, and other data sources.
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Analyze and define with product teams the data migration and data integration strategies. You should be a strong analytical thinker, detail-oriented and love working with data with a strong background in data engineering and application development.
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Strong experience with Palantir Data Engineering features such as, Code Repo, Code Workbook, Pipeline Build, Ontology Manager, migration techniques, Data Connection and Security setup. 8+ years in Data Engineering and must have at least 3-4 years of experience in Palantir Foundry.
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Drive Data Strategy & Data Governance offering sales pipeline through cross practice/cross channel sales activity. Working knowledge and experience in multiple Data and Analytics solutions and tools such as dbt, Alteryx, Collibra, Alation, Fivetran, Matillion, Tableau, PowerBI, etc.
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Work closely with scientists within the in-vivo pharmacology group to verify in-vivo and Pharmacodynamic (qPCR) data. · Work closely with scientists within the ADME group to verify bioanalytical data generated using HPLC-FD and LC-MS/MS.
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data job Title: hadoop consultant Company: Kpmg
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