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Nice to have working knowledge of Sybase ASE and Sybase Rep Servers/Rep Agents Strong working knowledge of setting up and using monitoring tools like Quest Foglight for SQL server and (or) Sybase/PostgreSQL monitoring and Sybase MDA tables for auditing.
$193,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience to include working on Azure Data Factory (ADF), Oracle, SQL server, Azure Databricks, Azure Synapse Analytics, Data Lake Storage, Azure PaaS services, SSIS packages, Azure Cosmos DB (SQL API), Python, Spark applications, Azure SQL, SQL queries, Azure Monitor and Alert services, GIT Support, ARM Templates.
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Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture design.
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Technical Skills: Proficiency in SQL, database platforms (e.g., MySQL, Oracle, SQL Server), data warehousing, ETL processes, data modeling tools, and familiarity with cloud services (AWS, Azure, Google Cloud), big data technologies (Hadoop, Spark), and data pipeline tools (Apache Kafka, NiFi.
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Skills: pyspark,sql,python,azure,azure data engineer,adf (azure data factory),azure data factory,databricks. The ideal candidate will be proficient in tools and technologies like Pyspark, Azure Data Factory (ADF), Databricks, big data technologies, SQL, and Python.
$150,000 a yearFull-timeExpandApply NowActive JobUpdated 6+ months ago - UpvoteDownvoteShare Job
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Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Tomcat, WebSphere Application Server, Liberty, Kafka, IBM BPM, IBM MQ Administration in Linux Environment. Installation, Configuration Tomcat, WebSphere Application Server, Liberty, Kafka, IBM BPM, IBM MQ , Tomcat application servers.
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Server Farm Management: Build and support large SharePoint server farms designed to meet both business and technical requirements, including high availability, disaster recovery, WAN optimization, load balancing, at-rest encryption, BLOB offloading, SSL, and Kerberos.
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IDEs: Eclipse, STS, Oracle SQL Developer, PuTTY, Visual Studio Code, SoapUI. No-SQL Database: MongoDB, Servers : Apache Web Server, Apache Tomcat Server, IBM WebSphere Application Server, Pivotal tcServer Application Server.
$85 an hourFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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6 years of experience must include: Ab initio, Informatica, Data Stage; Teradata, IBM DB2, Cognos, Oracle PL SQL; Autosys, Control-M, Erwin, XML, HTML, CSS, Unix Shell Scripts; Data Analysis, Data Processing, Code Optimization, Performance tuning; Automating Business Process and Models; Microsoft Visio, Web Services, Crystal Reports; and HP Quality Center, ALM, VSS, EME, XSD. At least 3 years must include: Hadoop, HDFS, Big Data, Hive, Spark.
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Our data architecture is built on self-hosted SQL server along with S3, RDS, Redshift and Elasticsearch. Data (SQL Server, RDS, Redshift, S3). Our data architecture is built on self-hosted SQL server along with S3, RDS, Redshift and Elasticsearch.
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Develops and maintains a network of contacts with 3rd party vendors and business partners such as search firms, employment agencies, consultants, and college placement offices to help identify and source qualified candidates.
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Develop plans, specifications, and estimates (PS&E) design packages for freeway, arterial and transit ITS systems, including fiber optic and wireless communications systems, power distribution systems, CCTV, DMS, vehicle detection systems, HAR, RWIS, traffic signal interconnect, transit signal priority, lighting control systems, and other ITS technologies and sub-systems, such as freeway open road tolling and managed lanes technologies.
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Expertise in MS-SQL, Databricks, Python, PowerShell, and additional scripting languages. Solid understanding of database management, including experience with MS-SQL and Databricks. A thorough familiarity with Machine Learning or Generative AI methodologies, leveraging platforms like Microsoft’s Semantic Kernel, Google’s Vertex AI, or the Open AI API. Proficiency in utilizing front-end and back-end development tools and libraries such as React, Angular.
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Expertise in two or more data estate workloads like Microsoft's Data & AI Platform (Azure Synapse Analytics, Azure Databricks, CosmosDB, Azure SQL, HDInsight, etc.) AWS (Redshift, Aurora, Glue), Google (BigQuery), MongoDB, Cassandra, Snowflake, Teradata, Oracle Exadata, IBM Netezza, SAP (HANA, BW), Apache Hadoop & Spark, MapR, Cloudera/Hortonworks, etc.
$391,300 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago
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