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Hands on experience architecting and delivering solutions using the Azure Data Analytics platform and solutions including but not limited to Azure Databricks, Azure Cosmos DB, Azure Data Factory, Azure Logic Apps, Azure Functions, Azure Storage, Azure SQL Data Warehouse, Azure Data Lake, Azure Search, and Snowflake.
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Hands-on experience in implementing advanced search techniques in Elasticsearch, such as fuzzy searches, phrase queries, and wildcard queries. Should have 5 years of experience in implementing Search Technologies Lucene, Elastic & SOLR.
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Working experience with Spark, Sqoop, Kafka, MapReduce, NoSQL Database like HBase, SOLR, CDP or HDP, Cloudera or Hortonworks, Elastic Search, Kibana, etc. Hands on programming experience in at least one of Scala, Python, PHP, or Shell Scripting, to name a few.
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Extensive hands-on experience with NoSQL (e.g. Mongo, Cassandra), Kafka, search engines (e.g. Solr, Elastic), cache (e.g. Redis, Memcached), and other data sources. Hands-on experience testing different kinds of software components, e.g. UI (web or iOS), APIs, data pipelines, ML models, etc.
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Hands on experience with Text Mining and Text Search applications and frameworks like Elasticsearch or Solr or Lucene. Hands on knowledge of numerical computing libraries in Python like Numpy, Scipy and Pandas.
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Significant software engineering experience focused on distributed systems, back-end services, data pipelines, or ML systems. Come join the Applied Machine Learning (AML) team to do your best work on exciting and groundbreaking projects that will surprise and delight our users.
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Demonstrated hands-on experience developing Applications using the following technologies or something similar: SOLR, Elastic, Postgres, Java, Scala, RDS or spring boot. The Sponsor requires project management and technical support to manage projects and to perform software development activities within budget in the areas of enabling search against structured and unstructured data sets, coordinating and collaborating on documents across the organization, leveraging machine language to discover content that would otherwise be missed via Boolean, and incorporating artificial intelligence to do predictive analysis and make recommendations based on historical data.
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And experience with data formats like json, csv, xml. Designing and coding hadoop applications to analyze data collections. Experience working with Hadoop/Big Data and Distributed Systems.
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Hands on experience with Generative AI models. 8+ years of experience in algorithms, machine learning, and natural language processing to build complex data driven software applications.
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Hands on experience in Product Catalog/Search, Order/Checkout, Promotion/Marketing. · Knowledge of SOLR search engine and adaptive search using Facet Values and sorts.
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Strong hands-on development experience in public cloud environment Familiarity with ML and data analytics Understanding of enterprise data integration and analytical platforms (C3 IoT, Pentaho, Snaplogic.
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Expert in implementing and troubleshooting Hive, Pig, Storm, Kafka, Nifi, Elastic Search, Solr, HBase applications. Have hands-on experience in working with Hadoop distribution platforms like Hortonworks, Cloudera, and others.
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Experience with complex search and data ingestion pipelines with specific knowledge of Apache Solr and Streaming Technologies. Hands on experience with various database technologies (i.e., MS SQL, Oracle, PostgreSQL, MongoDB, HBase, Cassandra.
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Working experience with Spark, Sqoop, Kafka, MapReduce, NoSQL Database like HBase, SOLR, CDP or HDP, Cloudera or Hortonworks, Elastic Search, Kibana, Jupyter Notebook etc. Experience with Kafka Streaming and Spark Streaming o Being able to discuss the flow of the process and get into the technical weeds o Discussing experience with APIs in depth (How do you ensure the API's fail gracefully) o Being able to handle or understanding how to work with large amounts of data.
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Hands on experience in implementing data gathering & text extraction, tagging or document classification using frameworks like apache TIKA, and SOLR connectors for popular cms like teamsite, drupal, adobe-cq, file-systems, dbs or index update handlers.
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