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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. As a member of the Data Engineering Blockchain team, you own the ETL/ELT pipelines and data warehouse that are used to analyze trends and activity on the blockchain.
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Work with big data technologies like Azure Databricks, Apache Spark & Palantir. 8+ years of experience in data engineering, machine learning, and cloud tech developing production grade software components and solutions.
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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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Design, develop and deliver data integration/data extraction solutions using IBM DataStage or other ETL tools and Data Warehouse platforms like Teradata, BigQuery. GCP Data Engineer.
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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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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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SQL and experience with big data technology such as Hive, Presto, Glue, (Py)Spark, or Athena. Proficiency with the Python Data Science stack, e.g. Pandas, etc. 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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The ideal candidate will have strong Microsoft Azure Cloud skills - Azure Data Factory, Azure Databricks, Power BI, SQL, Ability to guide and mentor junior engineers, Data and Analytics Thought leadership, and a passion towards Data and Analytics.
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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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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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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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Familiarity with big data technologies and frameworks, such as Hadoop, Hive Spark, Kafka, and NoSQL databases. Join us as a Solution Architect at Mercedes-Benz USA and become a driving force behind our future data products.
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Two years of experience in a municipal planning department, GIS mapping, processing deeds, or a related field; or any equivalent combination of education, training, and experience which provides the requisite knowledge, skills and ability for the job OR four (4) years of progressively responsible experience in reading and interpreting a wide variety of maps, aerial photographs, survey notes, plats, and legal descriptions as well as drafting and technical data input and analysis.
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Infosys is seeking a Loan IQ Data Conversion SME with Techno functional Conversion experience on Finastra Loan IQ Commercial Lending platform applications. Manage DCT Extraction, Transformation and Loading of loans data into Loan IQ using Finastra DCT as a migration utility.
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big data jobs Title: data administrator in Atlanta, GA
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