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The Analyst will use the Google Cloud Platform (GCP) BigQuery and Microsoft Power BI tools to access data about our customers. Bachelors Degree in Computational and Data Science, Data Analytics, Economics, or Math; or BS degree in other field in combination with additional experience; equivalent education, experience and certifications will be considered.
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At least 2 years of experience in big data technologies. As a Capital One Lead Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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Advanced programming experience and big data experience. The ideal candidate is an experienced Data Engineer with background in ETL or ELT processing with SQL/NoSQL databases, a background in transforming existing tech to new open source technologies (ideally Postgres) as well as a strong development background in Spark, Scala, Java and/or Python.
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The successful candidate will perform integrative analysis of diverse data types, develop and utilize next generation sequencing (NGS) and other analytical pipelines, and collaborate with internal and external investigators for interpretation of high dimensional data sets to inform biomarker hypotheses, target discovery, and other biological queries.
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Strong technology proficiency in one or more of the following areas is highly desired: Aladdin technology suite, data model & data feed interaction, API's, industry technology (e.g. CNS, Swift, OMGEO), data and reporting toolsets (e.g. ADS/SQL, Microsoft Excel VBA/Macros, Power BI), Python, etc.
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Experience with power plant instrumentation and controls systems design for either BWR of PWR reactors, including DCS for turbine, control, feedwater control, and data display. Experience with controls system design including applications for low and medium voltage distribution systems and controls for equipment including but not limited to turbines, pumps, feedwater control, and data displays.
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The Big Data platform supports operational real-time event-based processing and compute applications as well as analytics consumption use cases including machine/deep learning. 10+ years of experience in Hadoop/big data technologies.
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Position Overview: We are seeking a mature data engineer to join our core platform team. Experience with the tools we use, like AWS (including Glue and Lambda), Redshift, Data Build Tool (DBT), Snowflake, and Docker - plus experience with tools we don’t use, but should, and the wisdom to know when to recommend them.
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Skill - Big Data, Spark, SQL, parkStreaming-Kafka-Python / Scala / Java. Experience in Big Data technologies including Spark, Scala and Kafka. Job Title: Big data Developer.
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Experience with eDiscovery processes, forensic data collections and evidence handling, including with FTK, Enterprise Vault, Axiom Magnet Cyber, o365 Compliance Center. Working closely with Cyber Security and Legal Teams to perform the collection and preservation of electronically stored information (ESI) across a multiple data sources.
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Provide guidance in interpreting the data from pharmacometric analyses, including PPK, exposure-response analyses, and other quantitative analyses, to recommend dosing paradigm for different phases of clinical development; provide justification for dose selection for pivotal clinical trials.
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Responsibilities include but are not limited to:Subject matter expertise of BSA/AML and Fraud related risks with a focus on data, data quality, data flows and a solid business understanding of application of these risks within a large financial institution.
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The Solution Architect forms strategy on integration, extensions, master data management, reporting / business analytics ensuring effectiveness and cohesion UniFirst's application landscape. Experience integrating Oracle Financial / SCM solutions with 3rd party best in class, master data management solutions, business analytics solutions.
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As a Barclays Corporate Planning and Report Analyst, you'll be responsible for reporting to the Director, CFO Business Partner, Planning & Analysis, and will assist the entire team in reporting, data analysis, and financial modeling through the forecasting cycles (monthly, quarterly, and annually.
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And big data technology - Hadoop ecosystem (Cloudera distribution - Impala, Hive, This is a hands-on analytical role and as a proactive internal consultant to a specific brand team, the Brand Analytics Director will support and design commercial solutions, enabling data-driven decisions that are based on rigorous analysis and best available information.
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big data jobs Title: devops engineer in Wilmington, DE
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