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Grid Dynamics provides digital transformation consulting and implementation services in omnichannel customer experience, big data analytics, search, artificial intelligence, cloud migration, and application modernization.
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Strong implementation skills and working knowledge of data structures, algorithms and big data tools (Spark, Hadoop, Python, SQL, NoSQL, Hive). Implement data governance and standards including data definitions, data quality rules, data lineage, business glossary functions.
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Understanding of database design concepts (Pluggable DB's) and data modeling for relational or nonrelational databases such as RDBMS (Oracle/Postgres), No SQL (MongoDB, Cassandra) or NewSql (Cockroach DB) and search DB's like Elasticsearch incorporating multi-master across multi-regions.
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The team also leverages SQL Server, MySQL, Kafka/Confluent, SAP Business Objects, Tableau, Geneva, Orchestrade, and various third-party APIs and data sources. The tech stack for this role includes front-end applications that are primarily browser-based, developed using Python/Django and ReactJS. Middle-tier and back-end use Python, C#, SQL, and Docker.
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Excellent data handling skills (Excel, VBA, SQL) and office skills like powerpoint presentations etc., They operate as part of the Enterprise Data Office in the Search Optimisation Team working closely with search engineers, KM product owner(s), other analysts, data governance roles and search consuming groups.
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Experience with cloud migration, deployments alongside MDM upgrades would be desired· Experience with advanced search, matching techniques including Elastic search would be helpful· Strong technical hands-on expertise in the following areas:· Data analysis & profiling using SQL· Linux/Unix shell scripting· Data modeling (logical/physical.
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Agile, SaFE, AWS PaaS (EC2, ELM, Autoscaling, Lambda, API-Gateway, CloudFormation), Azure PaaS (App Service, Service Fabric, Functions, Logic Apps, SQLDB, DocumentDB, SQL Data Warehouse, Table Storage, Redis Cache, AzureAD, Notification Hubs, Event Hubs, IoT Hub, Stream Analytics, Machine Learning, Service Bus, Search, Cloud Services, Application Insights, CDN, Media Services.
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Advanced proficiency with SQL, preferably within BigQuery or similar cloud environments, and experience with using dashboarding tools such as Looker, Tableau, Mode, etc. We're looking for our first audience data and insights manager, someone who can be a strategic and analytical collaborator and who can generate actionable data insights to guide the organization's efforts.
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Summary:We are in search of a proficient Data Architect/Admin with expertise in SQL and DBT (Data Build Tool) to join our team. Requirements:Strong proficiency in SQL for data manipulation and querying.
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You are excited to dive deep into the data using analytical tools and SQL. Evolve our existing search capabilities by partnering with Data Sci & Engineering to enable Natural Language Search and build more advanced technologies to broaden our options for getting homeowner’s jobs done well.
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Healthcare industry a plus)3+ years of claims system management experience, including Java8, Oracle, and UNIX.Proficient in Web Services (SOAP/REST), PL/SQL, Shell Scripting, and Web Servers. Coordinate with IT units (Data Warehouse, EDI, Web Applications, Operation) for consistency.
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Expert understanding of the overall marketplace and partner landscape including endemic/lifestyle digital, print, audio, video, point of care, social, search, and programmatic. At PHM, we sit squarely at the intersection of Publicis Health, the largest Healthcare Communications network in the world, and Publicis Media, the number one buyer of media in the US. This gives us access to talent, technology and data to help us deliver the market-leading solutions that give our clients true competitive advantage.
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GroupM Nexus brings together 9,000 practitioners globally across ad ops, addressable content & TV, AI, commerce, programmatic, search and social, among others, to deliver transformational outcomes across digital channels and platforms and create exciting new career paths for our people.
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You will also build customized reports for key client stakeholders joining data from various platform APIs (i.e. Google Search Console, Google/Adobe Analytics, SEMRush, crawl technology, etc.
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Extensive experience implementing Data Warehouse (Star / Snow flake schemas) using SQL Server or equivalent, Big Data - HDFS, Elastic Search, ETL process development using IBM Infosphere or equivalent, Reusable Frameworks.
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