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Be part of a group of engineers building data pipelines using big data technologies (Spark, Flink, Kafka, Snowflake, AWS Big Data Services, Snowflake, Redshift) on medium to large scale datasets.
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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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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Work with big data repositories like SnowFlake, Data Lake and streaming data.
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Solid experience with big data technologies (Apache Spark, Hadoop, Kafka) and cloud services (AWS, Azure) related to data processing and storage. Work within cloud environments like AWS or Azure to leverage services including but not limited to EC2, RDS, S3, Lambda, and Azure Data Lake for efficient data handling and processing.
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Cloud engineer/development experience on AWS/EMR cluster: Converting Spark application base on Hadoop to Snowflake. Proven experience on Hadoop/Big Data migration to Snowflake: Having Spark and Spark SQL experience is critical to know what Snowflake connectors used in the conversion.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Demonstrating relevant project management experience in organizing and leading teams including Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL pipeline development (tools: IICS/AWS Glue/SAP BODS/ SSIS/SnapLogic); preferable in P&C Insurance data warehouse.
$256,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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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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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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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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Working and Hands on experience on AWS Cloud experience – AWS (ECS, EC2, S3, R53, RDS, IAM, LAMBDA, VPC) 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.
Full-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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Job Title: Cloud AWS Engineer. Expertise in building and managing Cloud databases such as AWS RDS, DynamoDB, DocumentDB or analogous architectures. Participate in research and perform POCs (proofs of concept) with emerging technologies and adopt industry best practices in the data space for advancing the cloud data platform.
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Skills: aws,cloud platforms,data modeling,big data technologies,etl,java,sql,python. Knowledge of big data technologies such as Hadoop, Spark, or Kafka.
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Experience and familiarity with cloud data security and working with public cloud solutions (AWS, Azure, Google) Knowledge of data governance and security practices; and of technologies, programming and scripting languages, and data tools associated with big-data.
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We are currently seeking a Business Analyst to support the ODGA and specially the Office of Workforce Development (a newly created agency in the Commonwealth) reporting to the Deputy Chief Data Officer within the Office of Data Governance and Analytics.
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We are currently seeking a Business Analyst to support the Office of Workforce Development (a newly created agency in the Commonwealth) reporting to the Deputy Chief Data Officer. Experience related to the defining and assessing of Data Protection strategy, architecture and practices, and technology implementation.
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