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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Internal knowledge of open source or related big data technologies. For Senior Data Engineer (III.
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Work with big data technologies like Azure Databricks, Apache Spark & Palantir. We are actively seeking a senior data engineer with Generative AI experience who embodies energy and passion.
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Big Data Analytical Platforms: Experience with big data technologies like Synapse Analytics, Microsoft Fabric, Hadoop/hive, Greenplum, and Databricks etc. Strong understanding of big data technologies such as Synapse Analytics, Microsoft Fabric, Hadoop/hive, Greenplum, and Databricks etc.
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GCP Data Engineer. Design, develop and deliver data integration/data extraction solutions using IBM DataStage or other ETL tools and Data Warehouse platforms like Teradata, BigQuery.
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Provisioning and managing Databricks cluster and Knowledge of HDInsight, Azure Functions and Azure DevOps is a big plus. � In-depth knowledge Data processing techniques and handling large data sets � Hands on experience using Azure Blob storage and Azure Data Lake Services for storing data � Hands on experience using Databricks in at least 2 projects, creating notebooks using Scala/Python.
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We specialize in Big Data & Analytics, Digital Transformation, IT Service Management, Cognitive Solutions, Artificial Intelligence, IOT & Future Networks, DevOps, Enterprise Applications & Managed Infrastructure Services & Industry Specific Solutions.
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You will lead a team of researchers creating data-driven algorithms for ATG. The initiatives will include both short-term and long-term research in areas such as artificial intelligence, machine learning & data mining, natural language processing, big data systems, information and data visualization, and social & cognitive science.
$199,300 - $247,500Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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SQL and experience with big data technology such as Hive, Presto, Glue, (Py)Spark, or Athena. Position OverviewAs a Lead Data Scientist / ML Engineer on the team, you will be responsible for the design, analysis, and delivery of data-driven solutions to significant business challenges.
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Microsoft Azure Cloud: Azure Data Factory, APIM, Function Apps, Logic Apps, Key Vault, Azure App Insights, Azure SQL, Azure DevOps. , WebServices, DevOps, Logging, Monitoring, and Alerting, Containerization, Encryption / Decryption, Data Masking, Cost & Performance Optimization.
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2-4 years of experience in modern data technology stacks such as Google Big Query, Snowflake, Databricks, etc. Handle a variety of data sources such as Salesforce CRM, Pardot, Marketo, BigQuery, Google Analytics 360, Segment, Mixpanel, InfoMatch, Treasure Data CDP, among others.
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Experience with data aggregation/analytics and/or SIEM tools. Experience with the following cybersecurity tools: Splunk, CrowdStrike, Tenable.io, Axonious. Certified Information Systems Auditor (CISA), Certified Information Systems Security Professional (CISSP), Certified Information Security Manager (CISM) or equivalent certification.
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ACI works with clients across different business sectors: Financial Services, Healthcare, Manufacturing, Hi-Tech, Media, Utilities, Public sector, Retail, Telecom, E-commerce & Logistics, and Higher Education.
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Automation is a big part of what we do we use infrastructure-as-code within our hybrid cloud to bring stability and scalability to Windows, Linux, Docker and Serverless applications in AWS, On-Prem and Azure environments.
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The Role: Sensus, a Xylem brand, seeks to hire a Lead Java Engineer with a desire to join their Analytics team delivering Big Data applications in the Cloud. We’re looking for people who have a passion for writing great code, developing servers, and working with big data.
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Experience in machine learning, big data analytics, data science, and cloud computing is a plus. AI Solution Managers then lead cross-functional teams (Data Scientists, Data Engineers, App Developers, and Architects) to develop or configure AI / ML Solutions.
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big data jobs Title: devops engineer in Atlanta, GA
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