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Practical hands-on experience with data technologies and Cloud Platform like Hadoop, Hive, Redshift, Big Query, Snowflake, Databricks, GCP and Azure. Extensive professional experience with Big Data systems, data pipelines and data processing.
$248,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiarity with Databricks for big data processing and advanced analytics. Utilize Databricks for big data processing and advanced analytics. Knowledge of cloud computing and data warehousing solutions (e.g., AWS Redshift, Snowflake.
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Big Data Platforms : Experience with Databricks for big data processing and analytics. Certifications : AWS Certified Solutions Architect or AWS Certified Big Data – Specialty.
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Presto, Hive, SparkSQL, Cassandra, or Solr other Big Data query and transformation experience a plus. Expertise in Cloud Data Warehouses in Redshift, BigQuery or analogous architectures a plus.
ExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience with other data integration tools and techniques including IIB, MFT,web services, messaging and other modern data warehousing. Background in web service development IIB and/or ADF development would be a big plus.
Full-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Be part of a group of engineers building data pipelines using big data technologies (Spark, Snowflake, AWS Big Data Services like Glue) on medium to large scale datasets.
$55 an hourFull-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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Experience working with SSIS,Azure Cloud, ADF and Data Bricks. Must have background in Data Warehousing, Oracle PL/SQL and MS SQL server development. Background in data integration between business systems.
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Experience with big data technologies (i.e. Hadoop, Spark, Hive, Databricks, AWS/Azure and etc) Experience with data visualization tool (i.e. Spotfire, Tableau, Business Power Intelligence or Business Objects.
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Advanced skills in IBM's Infosphere Data Stage product line. Must also have ability to do data analysis, develop requirements and data models. Requirements analysis and data modeling.
Full-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Experience with big data technologies (e.g., Azure Synapse Analytics, Spark, Databricks, AWS/Azure, etc. Minimum of 3 years' experience using Spotfire, Power BI, Tableau, and/or similar data analytics, visualization, and business intelligence tools.
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As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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Experience with cloud platforms (AWS), big data technologies (Hadoop, Spark) and Snowflake platform. ·Mentoring: Train and mentor junior engineers on data engineering best practices and Talend usage.
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Build the next generation Distributed Data Pipelines using programming languages like Python. 3+ years of experience with Distributed data computing tools (Spark) Be a part of team designing and building Enterprise Level scalable, low-latency, fault-tolerant data Pipelines that provides meaningful and timely insights.
ExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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Contractor will be responsible for purchasing parking through VDOT’s Parking Management Office or procuring their own parking. Experienced ETL developer with skills in IBM InfoSphere/DataStage product line.
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Required Skills Advanced skills in IBM's Infosphere Data Stage product line. Job Description: Experienced ETL developer with skills in IBM Infosphere/DataStage product line. Job Title: Sr. DataStage ETL Developer.
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big data jobs in Richmond, Fernley, Nevada
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