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Big Data Technologies: Hadoop, Spark, Athena, materialized views. Data Visualization: Tableau, Looker, Power BI, Quicksight. Highly experienced Full stack Engineer with expertise in cloud engineering, data engineering, and data warehousing, particularly within the AWS and google cloud ecosystem.
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Skills Required: Requires experience in the following: Linux; Unix; Windows; Agile SDLC; Hybrid SDLC; Data Architecture Disciplines; Infrastructure Architecture Disciplines; Apache Kafka; Docker; Jenkins; Python; Shell Scripting; SQL; Bootstrap; REST; JSON; Kubernetes; AWS Cloud Services; Hadoop; MongoDB; Oracle; Teradata; Apache Spark; Qlikview; Splunk; Tableau; GIT; Unit Testing; User Acceptance Testing.
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As part of this role, you'll work on designing cloud native solutions and will have the opportunity to work on emerging technologies such as: AWS, Java, Python, Endpoint technologies, Big Data technologies, to name a few.
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Remote Work From Home Jobs / Data Entry Clerk - Typing - Work At Home - Doing Data Entry - 100% Remote – Earn Immediately Hello and thank you for your interest! Our paid market survey participants originate from all backgrounds and markets including data entry clerk, administrative assistant, receptionist, sales assistant, customer service agent, warehouse or factory workers, chauffeur, medical assistant, nurse, phone call facility representative, etc.
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10+ years of designing solutions utilizing key data providers and hyperscalers (e.g., Snowflake, Databricks, AWS Sagemaker/Bedrock, GCP AI Platform/Vertex AI, and Azure). 10+ years hands-on experience working with large scale data solutions; covering strategy, data preparation, data quality, ETL, data visualization.
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Streamline data delivery and operational data governance using Oracle Cloud supported integration patterns including HCM Extracts, Oracle BI Publisher reports, REST API and SOAP web service protocols to ensure compliance with Fannie Mae's data management standards.
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Design scalable patterns and architecture to support both batch and real-time data products & platform using big data technologies such as Hadoop, SQL Data Warehouse, EMR, Spark, DataBricks, Snowflake, Azure Synapse or other Cloud data warehousing technologies.
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From large scale mass communication projects to highly secure and confidential data analytics using Big Data frameworks like Hadoop and AWS Redshift, ODS has a broad set of proven technical capabilities that help companies make complex digital transformations.
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RCDD, BICSI DCDC, CDCDP or PMP or related Data Center Facilities Design certifications are a plus. - 3 to 7 years of relevant data center facilities design and build project management experience.
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Solid experience with architecting and implementing metadata management including data catalogues, data lineage, data quality and data observability for big data workflows.
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Solid experience implementing data lineage, data quality and data observability for big data workflows. Solid experience implementing data lineage, data quality and data observability for big data workflows.
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Data entry, data review, and GPS use. Working knowledge of sub-meter accuracy GPS technologies and map interpretation skills (e.g., NWI, USGS, aerial photography). Familiarity with Army Corps of Engineers Regional Supplements for the Arid West and Great Plains.
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You'll be working together with Creative, Account, PMO, Production and Tech as partners to deliver strategy rooted in powerful storytelling, formulated frameworks that place logic above all else, while taking on the uber-modern twist of incorporating measurement, data, insights and optimizations as part of your epic plan.
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As a member of the Data Quality (DQ) Audit team, the candidate will be accountable for managing and executing audit programs designed to measure and report on data risk across the enterprise.
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Unify data from various sources (e.g. Zendesk, Salesforce, JIRA) and conduct analysis to generate actionable insights for leadership. Tipalti is the only company handling both global partner payments and accounts payable workflows for high-velocity companies across the entire financial operations cycle: onboarding and managing global suppliers, instituting procurement controls, streamlining invoice processing and approvals, executing payments around the world, and reconciling payables data across a multi-subsidiary finance organization.
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big data jobs Company: Dice in Plano, Fernley, Nevada
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