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Experience with Big Data Technologies (NoSQL databases, Hadoop, Spark, Elasticsearch, Databricks, etc.) Experience in architecting data pipelines and solutions for streaming and batch integrations using tools/frameworks like dbt, Talend, Azure Data Factory, Spark, Spark Streaming, etc.
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Proven experience as a Product Manager or similar role in the media entertainment industry with Film or TV data. Experience with cloud data environments (GCP - Google Cloud Platform, Big Query, Snowflake, or AWS.
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Experience building and optimizing reliable, idempotent data pipelines (streaming or batch) using ETL tools such as Matillion, Apache Airflow, FiveTran, Kafka and Spark. Working knowledge of dbt data modeling and source to target mapping with a demonstrated understanding of data schema design, Snowflake clustering and micro-partitioning.
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5+ years of experience in Business Intelligence/Decision Support/Data Engineering/Data Warehousing roles working with multiple disparate, large, complex datasets requried. Experience working with Python, R, particularly for ETL or Data Science related tasks.
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One of our founders, Karthik, was a Dragon flight software lead responsible for two Dragon missions to the ISS. His team used SpaceX's end-to-end data platform before, during, and after every Dragon mission.
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The Biostatistician Analyst is responsible for the development and execution of statistical analysis plans, larger data sets and current and future new studies conducted by HSS faculty. Works independently to obtain needed data from KP information systems based on project or task data requirementsBuilds databases and extracts, loads, cleans, and manipulates data relevant to existing and future HSS projects.
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Proficiency with urban data science analytical techniques and familiarity using multiple public datasets including BLS, BEA, NAICS data, ACS and other geographically-defined socioeconomic datasets.
$94,900 - $142,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The University of Southern California's Leonard D. Schaeffer Center for Health Policy and Economics is now accepting applications for one or more Postdoctoral Fellowships in health policy, health economics, and health services research with a specific focus on machine learning and data science applications in health economics and outcomes research (HEOR) and pharmacovigilance.
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As an Systems Integration Engineer, you will play a critical role in optimizing and streamlining our organization's business processes by managing and enhancing the integration and data flow within our ERP (Enterprise Resource Planning), MES (Manufacturing Execution System), PLM (Product Lifecycle Management), QMS (Quality Management System), and WMS (Warehouse Management System) systems.
$100,000 - $125,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Maintain accurate record keeping, perform independent data analyses, and report data in written and oral formats. " Strong communication skills and experience presenting data in a team environment.
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Hands-on production experience with data pipeline orchestration systems such as Airflow for creating and maintaining data pipelines. Build tools and services to support data discovery, lineage, governance, and privacy.
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We're hiring for an ambitious, experienced data engineer to help us scale our technology and impact in the grid. 3+ years of industry experience building data pipelines and cloud systems, with a particular focus on backend.
$130,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Experience working with large datasets and big data technologies, preferably cloud-based, such as Snowflake, Databricks, or similar. The Data Engineering team is looking to fill a Senior Data Engineer responsible for designing and implementing ETL/ELT data pipelines, designing and implementing database schema/tables/views, and building batch processes leveraging Airflowfor several projects.
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Postgraduate training or equivalent experience in peptide synthesis, medicinal chemistry, protein engineering, and/or combinatorial chemistryStrong communication skills and experience presenting data in a team environment.
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Unfortunately, distributing new software to FIs has historically been a long and painful process because of data security and system integration hurdles. Furthermore, the platform’s fine-grained authentication and permissions model provides FIs with strict control over which people/software can access particular banking data and operations.
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data job Title: data scientist Company: Federal Bureau Of Investigation Fbi in Glendale, CA
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