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Data Architecture & Tools: modern cloud data platforms (Snowflake, Databricks, Big Query, RedShift), data analytics tools (Tableau, Looker, Power BI), data programming models (DataFrames, pandas), and AI (Python, R, Jupyter Notebooks, data wrangling, machine learning.
$217,200 a yearFull-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Lead Data Engineer (python, Spark, Big Data, AWS) At least 2 years of experience in big data technologies. Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
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Expertise with Google Cloud Platform’s distributed Machine Learning, Data Science and Data Engineering tools (e.g. BigQuery ML, VertexAI, AutoML, Docker, Kubernetes, Kubeflow, Dataproc) As a Sr. Data Scientist, reporting into the Head of Data & Strategy at TRKKN North America (NA), you’ll focus on building scalable machine learning and AI products to help evaluate and optimize the business impact of our clients’ marketing investment.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Familiarity with Big Data is preferred. Propose new database architecture and support data migration from an existing Legacy system to a new structureCreate source-to-target mapping documents to transform the source data into the target warehouse and test final transformations.
$115,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficient with software used for data mining, statistical analysis, and data visualization (SAS, SQL, R, SPSS, Qlik, Power BI, Tableau, etc.) in order to construct a robust, accurate, 360-view data environment that is unique to each clientDemonstrated performance excellence in one or more of the following computer languages: SQL, SAS, R, PythonEmploying techniques such as a case-control study, regression analyses, principal component analyses, clustering exercises, propensity scoring, classification, ROI calculation, etc.
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ETL, Data management & Data solutions (AWS Glue, Azure Data factory, Snowflake, Databricks, Redshift, Cosmos. The SVP, Technology serves as the key leader in Data & Technology solutions for the clients supported by our RAPP US agency.
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Experience with deep learning, data science, and NVIDIA GPUs. Track record of growing revenue for new innovative technology-based solutions. A validated understanding of the business issues of large CSP, accelerated Computing/ Data Center technology/ Deep learning & machine learning.
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Alteryx, Banking, Business, Critical Thinking, Data Acquisition, Data Analysis, Data Management, Data Operations, Data Quality, Decision Making, Financial Products, Leadership, Management Reporting, Microsoft Power BI, People Management.
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Experience with Azure Synapse, Databricks, ADLS Gen 2, Google Analytics, Firebase, Big Query, Event Hubs, Kafka, Salesforce, SAP, and CDP platforms. Data Evangelist: Promote data product adoption through training and webinars.
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Your expertise is needed on our Finance Team to collect and manage project data in compliance with Department of Treasury’s Community Development Financial Institutions Fund (CDFI Fund) program requirements, including all CDFI programs (FA, NMTC, CMF, ERP, etc.
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A leader in big-data and software development environments focused on Business Intelligence. Deeply understand SQL and all its facets but also have experience working with traditional (e.g., Teradata) or cloud-based data-warehouse (e.g., Redshift, Snowflake.
$252,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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The ideal candidate should have a deep understanding of SAP S/4HANA and extensive experience in data migration, cleansing, governance, and Master Data Management (MDM), with expertise in using SAP Data Services (SAP DS) for data integration and transformation.
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Build and deploy batch and streaming pipelines to collect and transform our rapidly growing Big Data set within our hybrid cloud architecture utilizing Kubernetes/EKS, Kafka/MSK, and Databricks/Spark.
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The Far Horizons program is currently doing fieldwork using two main instrument sets designed and built at the Adler: the GONet camera system, which collects all-sky nighttime environment data in the field, and the NITELite system, which is a high-altitude balloon-borne camera system that collects regional scale night-time images from the stratosphere.
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big data jobs Company: Adyen in Chicago, Fernley, Nevada
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