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Work with a team of developers with experience in integrating data with CRM tools like salesforce CRM Developing and deploying distributed computing Big Data applications using Open Source frameworks like Apache Spark, Flink, Nifi, Storm and Kafka on AWS Cloud Work with other enterprise teams to integrate applications with API’s & other internal Tools.
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As a Quantitative Analyst 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 cloud 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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6 years of Experience with other data integration tools and techniques including IIB, MFT, web services, messaging and other modern data warehousing Nice to have. Background in web service development IIB and/or ADF development would be a big plus.
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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.
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Must have background in Data Warehousing, Oracle PL/SQL and MS SQL server development. Background in data integration between business systems. Required Skills Advanced skills in IBM's Infosphere Data Stage product line.
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At Cognizant Digital Engineering, a small cross functional team comprised of a Product Manager, an Architect, Full-Stack Developers, UI/UX designers and Big Data analysts builds higher quality software faster siloed individuals working independently.
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Backed by big data and cutting-edge analytics, the Customer Development Manager will be empowered to take their selling career to the next level at ATD. Sell a differentiated customer experience based on data and analytics.
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Knowledge of data governance and security practices; and of technologies, programming and scripting languages, and data tools associated with big-data processing projects. Azure certifications; certification in project management; experience in a big-data environment or data security.
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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.
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Experience with other data integration tools and techniques including IIB, MFT,web services, messaging and other modern data warehousing. Experience working with SSIS,Azure Cloud, ADF and Data Bricks.
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We provide strategic and technical advice, and we have expertise in areas covering Artificial Intelligence, Cloud Migration, Custom Software Development, Data Analytics Infrastructure & Cloud Solutions, Cyber Security Services, etc.
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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.
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Immediate need for a talented Data Engineer/ Platform Engineer. Build the next generation Distributed Data Pipelines using programming languages like Python. 3+ years experience with Distributed data computing tools (Spark.
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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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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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big data jobs in Richmond, VA
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