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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Internal knowledge of open source or related big data technologies. As a member of the Data Engineering Blockchain team, you own the ETL/ELT pipelines and data warehouse that are used to analyze trends and activity on the blockchain.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Cloud Big Data skills, such as Azure, AWS, Snowflake. Must have advanced level SQL programming and Data Visualization skills (Tableau, Power BI, Spotfire, D3. Deep knowledge of Life Sciences Research and Early Discovery (R&ED ) data & analytics in Target Screening, Lead Optimization, Vaccines, Lab - Dry & Wet, Instrumentation, LIMS, CMC and other relevant areas.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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As an Entry-Level to Mid-Level Application Lead, you'll use your expertise in Google BigQuery to design and implement effective data management solutions. Google Cloud Platform, Cloud Composer, Big Query, Lead Migration.
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Our transformative solutions are powered by artificial intelligence, machine learning, facial recognition, cloud solutions and Big Data analytics. Build and configure demo scenarios in Genesys or NICE CXone Cloud Admin and Architect including ACD, IVR, outbound dialers, queuing, skilling, quality, ACD, Email, Web Messaging, and SMS and other digital channels.
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Responsibilities: As an Entry-Level to Mid-Level Application Lead, you'll use your expertise in Google BigQuery to design and implement effective data management solutions. Analyze client requirements to craft customized data management solutions leveraging Google BigQuery.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Finance, IT and Cyber, ISC, Fraud and Forensics, and Data Analytics are the core functional groups. 3+ years experience with Big Four Audit or internal Audit experience from Fortune 500 companies.
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POSITION SUMMARY:We re a leader in the pet care category and part of the world s largest food company so you can imagine our salesforce is BIG. In pet care, we focus our sales efforts within the retail and veterinary sales channels to ensure we re at the forefront of consumers.
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The work involves designing, developing, and implementing data models, index structures, and storage strategies; ingesting/indexing processes and transforming/normalizing data to common standards using log aggregation tools (e.g., Elasticsearch and Splunk); enriching data upon ingest and querying; and creating queries against big data.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience with big data, analytics, and data science from a platform engineering and support perspective, including Tableau, MicroStrategy, AWS cloud - especially RedShift, Databricks, and Alteryx.
Full-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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Experience with big data, analytics, and data science from a platform engineering and support perspective, including Tableau, MicroStrategy, AWS cloud - especially RedShift, Databricks, and Alteryx 8+ years of Information Technology or relevant industry experience 4 years of Information Technology experience managing information related technologies, resources and projects, including teams with direct reports.
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Big Data Platforms (Cloudera, S3) With new state-of the-art offices in Scottsdale, AZ (Headquarters) and Chicago, IL – plus a growing presence in San Francisco – we’re entering our next big chapter.
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Requires experience with the GCP Platform and GCP tools (Big Query, DBT, Astronomer and Tekton) Requires 5 years of experience with data warehousing, Teradata and Datastage. Drive the data strategy and align it with continuously changing business landscapes utilizing his background in data design, data architecture, and data modeling (both transactional and analytical.
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Experience in distributed data (structured, semi-structured, unstructured, streaming) processing techniques using Apache Spark, Hadoop, Hive, Kafka, and big data ecosystem technologies preferred.
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You will be part of the fast-paced, entrepreneurial Enterprise Customer Intelligence Engineering team focused on delivering the next generation global Personalization capabilities (Prospect & Customer) using ground breaking Machine Learning Models and Big Data technologies.
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Experience with syndicated and shopper data (Nielsen, IRI, Retail Link, VIQ, CKB, RSI, etc) We’re a leader in the pet care category and part of the world’s largest food company—so you can imagine our salesforce is BIG. In pet care, we focus our sales efforts within the retail and veterinary sales channels to ensure we’re at the forefront of consumers’ minds.
$100,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago
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