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Stay up-to-date with industry trends and best practices related to Spark, big data technologies, Python, and AWS services. Proven experience (10+ years) as a Spark Developer or in a similar role working with big data technologies.
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Analyse on premises/ Azure transactional database environments such as Oracle, SQL Server, COSMOS, MySQL, PostgreSQL, MongoDB, Cassandra evaluate and plan migrations to Azure. Hands-on experience on Oracle, SQL Server, COSMOS, MySQL, PostgreSQL, MongoDB, Cassandra.
$75 an hourExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Must have experience with Java,Scala,Big data,Hive,Spark and Microsoft Azure Synapse Cloud. Participate in design and implementation of the Data Lake, big data migration using Azure cloud as platform.
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Collaborate with client business and technology leadership to provide data strategy and architecture thought leadership (big picture thinking), Strong technical background with hands-on technical expertise and experience in leading the technical team across various technologies related to On-premises / Cloud Database Technologies including Snowflake, SQL Server, Oracle, SSIS, Informatica, MDM, ODS, Data warehouse, Python, Power BI, Qliksense, Tableau, SnapLogic, Azure/AWS Services and DevOps Toolsets.
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Strong experience in Databricks/Vertex AI for big data and data science use cases. Automate data pipelines for Databricks/Vertex AI, BigQuery, and real-time stream pipelines using Kafka/Pub Sub.
Full-timeExpandApply NowActive JobUpdated 4 months ago - UpvoteDownvoteShare Job
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Design scalable patterns and architecture to support both batch and real-time data products & platform using big data technologies such as Hadoop, SQL Data Warehouse, EMR, Spark, DataBricks, Snowflake, Azure Synapse or other Cloud data warehousing technologies.
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Possess an understanding of the mechanical, electrical, and fire life safety systems used in a data center environment including, but not limited to the following: electrical distribution and layout, Transformers, PLC’s, Generators, Switchgear, UPS systems, STS’, ATS’ PDU’s, Chilled Water Systems, CRAC/CRAH’s, Pre-Action Sprinkler Systems.
$41.6 an hourFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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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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Java/Python developer on Hadoop/Spark/Big Data platform with AWS experience preferably on EMR, EKS, Glue, Lake Formation. Java/Python Developer that's worked on a Hadoop/Spark/Big Data Platform that has AWS experience (Preferably on EMR, EKS, Glue, Lake formation.
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From large scale mass communication projects to highly secure and confidential data analytics using Big Data frameworks like Hadoop and AWS Redshift, ODS has a broad set of proven technical capabilities that help companies make complex digital transformations.
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As a Capital One Director of Software Engineering, you'll work on everything from customer-facing web and mobile applications using cutting-edge open source frameworks, to highly-available RESTful microservices, to back-end Java based systems using the hottest techniques in Big Data. You'll bring solid experience in emerging and traditional technologies such as: node.
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Firm and proven understanding of the electrical and mechanical systems used in a data center environment, including, but not limited to the following: electrical distribution and layout, transformers, PLC's, Generators, Switchgear, UPS systems, STS, ATS, PDU/RPP's, Chilled Water Systems, CRAC/CRAH's, Pre-Action Sprinkler Systems and associate Fire/Smoke Detections systems.
Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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3+ years’ experience working with Cloud technologies, such as ADLS, Azure Databricks, Spark, Azure Synapse, Cosmos DB, and other big data technologies. Uses Azure services, such as Azure SQL DW (Synapse), ADLS, Azure Event Hub, Cosmos, Databricks, DeltaLake to improve and speed delivery of our data products and services.
$160,000 a yearFull-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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If you're interested in a long-term career at Capital One, the Data Science internship could be a great way to begin your career journey! Experience or academic work with large scale data analysis Data Science Internship.
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At least 1 year of experience in big data technologies. 2+ years of data warehousing experience (Redshift or Snowflake) Build the next generation Distributed Streaming Data Pipelines and Analytics Data Stores using streaming frameworks (e.g. Flink, Spark Streaming, etc.
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