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At least two years experience in implementing, automating and integrating Big Data infrastructure resources like S3, Redshift, Aurora, Kinesis, Kafka, EMR, Lambda, SNS, Azure Blob Storage Account ,SQL Data Warehouse, Microsoft Event Hubs , HDInsights, Azure Databricks, Azure Functions,Event Grid, Data Lake Analytics in an ephemeral/transient and in an elastic manner.
$96,200 - $158,900 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Comfortable working with multi-TB cloud data warehouses (Snowflake*, Big Query, Redshift) Our current analytics toolkit consists of DOMO and dbt running on top of a Snowflake data warehouse.
$110,000 - $120,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Experience in any cloud data warehouse like Synapse, Big Query, Redshift, Snowflake. Optimize Databricks jobs for performance and scalability to handle big data workloads.
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Hands-on experience with big data technologies such as Hadoop, Spark, Kafka, and distributed computing frameworks. Implement and optimize data solutions in enterprise data warehouses and big data repositories, focusing primarily on movement to the cloud.
$75 - $90 an hourExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Minimum of 3 end-to-end SAP Master Data Governance implementations. Minimum 7 years of experience with/in SAP Master Data Governance. Accenture's SAP practice, and we bring the New to life using design thinking, agile development methodologies, and the latest smart tech like IoT, automation, and AI. We even built myConcerto, a mix of SAP and Accenture that helps lead our clients to big wins.
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Azure Data Architect – Remote Contract. Extensive experience as an Azure data architect, with a strong background in Azure data Lake, SQL, Databricks, and PowerShell Scripting. This role will be pivotal in driving their migration to Azure, leveraging your expertise in Azure Data Lake, SQL, Databricks, and PowerShell Scripting.
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Ability to obtain or currently hold one or more of the following certifications: SAS Certified Big Data Professional, SAS Certified Data Scientist, Certification of Professional Achievement in Data Sciences, Certified Analytics Professional, CFE, CIA, CISA, CPA, CAMS, or CRCM.
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Big Data Architecture, Cloud Data Platforms Architecture (Azure, Databricks, Snowflake), In-house Big Data Platforms (Hadoop, Teradata, Exadata) This role provides you with a broad platform to build partnerships with business and risk counterparts, a vantage point to explore end-to-end data ecosystems and technologies, and ability to co-develop data solutions for GRM that drive the greatest value across the organization.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Hadoop, Spark). Experience with Azure cloud data services including Azure Synapse, Azure Data Factory, Azure Databricks.
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Candidate will be given the opportunity to learn and make use of sophisticated tools (SQL, Alteryx, Informatica, SAS, Tableau, SSRS, DataRobot etc) and technologies (Big data like Hadoop, Python/R Programming, AI/Data Science,) to provide customized automated solutions across multiple business segments.
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Demonstrated experience on at least three of the following key services: Big Query, Composer, Vertex AI, DataProc, Data Catalog, Notebook. Wells Fargo is seeking a Lead Software Engineer within the Application and Cloud Transformation Platform Engineering team to deliver services that provide data analytics, AI/ML, and data movement.
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Expertise in various phases of project life cycles Design Analysis Implementation and testing ETL Tools Ab initio, GDE, Ab Initio Co Op Databases, Teradata Oracle 10g, 11g, Exadata, My SQL, SQL Server 2008, DB2 Cosmos DB, Hadoop, Hive, Snowflake Other tools Autosys Control, M Client ALM, Jenkins, IBM Udeploy GitHub WinSCP, MSVisio, AWS Services, Service Now, AUTOMIC AROW, Airflow Windows, Powershell Python, IDLE, Kafka, GCP, Google Cloud Platform, Azure Big Data Technologies, Hadoop, Spark.
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The position entails a balance of ETL tasks and data engineering responsibilities, with some exposure to the Hadoop/Big Data stack. x UNIX Shell scripting, Autosys, Cloudera CDP, Hadoop (Hive, Impala, PySpark, Scala) and Data analysis.
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Experience in Developing Spark applications using Spark SQL in Databricks for data extraction transformation and aggregation from multiple file formats for analyzing and transforming the data to uncover insights into customer usage patterns.
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From a bowl of half sours to our two-dollar bills, we empower each team member to deliver Big Sky Moments in ways that are natural and effortless to Ted’s and our guests. We live by “The Big Sky Spirit” which is our cultural compass and is evident in everything that we do.
$16 - $18 an hourPart-timeExpandApply NowActive JobUpdated 2 days ago
data big jobs Company: Tiktok in Charlotte, NC
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