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Hands-on experience managing large numbers of diverse systems with configuration management or software delivery platforms (such as Puppet, Chef, Ansible, and Spinnaker) Data Platform Services SRE work directly with our partner engineering teams in an embedded SRE model, operating in unison with the developers to deliver seamless experiences for our customers.
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Good hands-on experience on Snowflake Data Warehouse. Should have good hands-on experience in writing stored procedures and complex sql queries in snowflake. Snowflake + Databricks + Azure Data Factory with Python+ Java.
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The Sales Engineers within the practice will report directly to the SEM and the SEM reports directly to a Sales Engineering Director. The Arrow ECS Sales Engineering Manager(SEM) is a technical leader for our Modern Infrastructure business.
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We are responsible for driving organic traffic that represents billions of dollars worth of goods and services bought on eBay. We are looking for an experienced Data Analyst to join the Buyer Taxonomy and Site Navigation team to assess the opportunity and measure the impact of projects related to changing the browse navigation experience on eBay. Your focus will be supporting various product launches to measure the impact on customer behavior and SEO (search engine optimization.
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With proven excellence across five core areas, including experience services, advanced engineering services, data engineering and analytics, foundation services, and application services, our solutions leverage industry-leading platforms to help our clients be competitive, agile, and disruptive while moving with velocity through change and opportunity.
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Advanced degrees, certifications and significant experience in data architecture, data management, Data Science, Azure Cloud Big Data technologies, Azure Data Lake Storage, Kafka, Air Flow, Stream Analytics, Databricks, Spark, Databricks SQL Analytics, Notebooks, MLflow, Snowflake, Snowflake SQL, Snowpark, Cosmos DB, Alation, Python, R, Java, Scala, Azure functions, Advanced Analytics and AI Client libraries, KsqlDB, FHIR/Rest API, GraphQL API, Power BI etc.
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Hands-on experience with SAP Data Services design, development, and implementation. Provide technical expertise and guidance on best practices for integrating SAP DS with SAP MDG to ensure data consistency, accuracy, and compliance with organizational standards and policies.
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Strong software engineering skills in Golang, Rust, and TypeScript. Blockchain, Smart Contracts, Blockchain Oracles, Cryptography, Decentralized Systems, Data Security, Data Aggregation, DeFi, Web APIs, and IoT.
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Our stack consists of Golang, Kubernetes, Prometheus, ScyllaDB, PostgreSQL, and ElasticSearch, all running on the Google Cloud Platform and being configured via Terraform. discovery, universal search, movies, tv shows, streaming, Online marketing, movie marketing, sports, games, media buying, creative services, entertainment data, and VOD availability data.
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Work on an attractive technical stack : We work on MongoDB, Node.js and Vue.js, three of the most popular JS technologies on the market. Level up your skills on our stack (Node, Vue, JS.
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Have strong knowledge and hands-on experience with workflow orchestration tools, such as ServiceNow Workflow, Client OO, Rundeck, Apache Airflow, Tidal and BMC Atrium Orchestrator. Good to have experience developing on the ServiceNow Platform.
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Hands-on Technical experience in building inbound & outbound integrations from Duck Creek. Duck Creek on demand Policy platform knowledge. To include production support and new Implementations with on premise and OnDemand programs.
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We are looking for an awesome Senior DevOps/Infrastructure Automation Engineer with expertise in automated infrastructure build tools such as Terraform, Ansible, and Salt. This role requires hands-on programming and iterative development for various infrastructure components including web stacks, database systems, security tools, and networking/cloud environment configurations.
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Hands-on monitoring experience with Zabbix and ELK. Custom financial software development, Multi-asset trading platforms, Equities/Options/OTC/Forex/Crypto trading platforms, Matching engines, Order management systems, Pre- and post- trade risk management, Pricing engine, Trading & data analytics, Market data visualization, Compliance, Wealth management platforms, Web, mobile, desktop trading platforms, Augmented reality trading desk, and Real-time, historical market data API.
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5+ Strong work experience on AWS Data Analytics stack - EMR, Redshift, Kinesis/managed Kafka, Glue. Provide hands on guidance, mentoring and validation for the project teams during implementation of the client engagement.
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data engineering hands on jobs in Myrtle Point, OR
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