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The ideal candidate will have a strong background in big data analytics, data engineering, and cloud computing, with a focus on building and optimizing data lakes on AWS. The Cloud Big Data Expert plays a crucial role in designing, implementing, and managing advanced data solutions using both AWS and Data Lakehouse platforms.
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Data Engineering Expertise: 5+ years of hands-on experience in data engineering roles, with emphasis on data pipeline development, ETL processes, and data integration.
Full-timeRemoteExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Deep hands-on experience in complex system design and data pipeline and architectures, scale and performance, tuning, with good knowledge on Docker and Kubernetes. Utilize hands-on experience with Sharepoint, Azure DevOps and Microsoft power platform (Power Automate, Power Apps & Power BI) to develop and maintain customized solutions.
$230,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with one or more of the following technologies Network Threat Hunting, Big Data Analytics, Endpoint Threat Detection and Response, SIEM, workflow and ticketing, and Intrusion Detection System.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Hands-on experience with big data technologies (Apache Hadoop, Spark, Kafka, etc. If you're ready to take your career to the next level and work on meaningful projects in a cutting-edge field, apply now to join our team as an AWS Big Data Architect.
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Hands-on programming experience in Apache Spark using SparkSQL and Spark Streaming or Apache Storm. Solid understanding of ETL methodologies in a multi-tiered stack, integrating with Big Data systems like Hadoop and Cassandra.
$227,900 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Hands-on experience with Databricks including data ingestion, transformation, analysis and optimization. Hands-on experience migrating from an on-premise data platform(s) to a modern cloud environment (e.g. AWS, Azure, GCP.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. 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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Demonstrated experience on at least three of the following key services: Big Query, Composer, Vertex AI, DataProc, Data Catalog, Notebook. 2+ years of hands-on experience with IaC tools Terraform and GitHub.
$287,600 a yearFull-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Minimum FIVE (5) years of hands-on experience with AWS Glue and other AWS data services (S3, Redshift, RDS, Lambda, etc. AWS Certified Solutions Architect or AWS Certified Big Data – Specialty certification.
Full-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Hands-on experience with Big Data technologies, including Spark, Hadoop, Cassandra, and others. Extensive knowledge of data warehousing and data lake concepts and hands-on experience deploying pipelines using Databricks.
$185,000 a yearFull-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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Created Big Data pipelines (ETL) from on-premises to Data Factories, Data Lakes, and Cloud Storage such as EBS or S3. MySQL, PostgreSQL, Mongo DB, RDS, DB2), Big Data systems (ex.
Full-timeExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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Hands on experience with Extraction Transformation and Load (ETL) tools (e.g. SAP Data Services), data profiling tools and processes. The solution architect will be called upon to provide hands on support in the development of data solutions.
$165,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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3+ years in a hands-on role performing advanced predictive analytics using tools like Python, R, or Scala. Proficient understanding of relational (e.g. Oracle, SQL Server, PostgreSQL) and Big Data distributed structures (Hadoop/Spark) in order to source data effectively.
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Well versed in the data domains (Analytics, BI, Big Data, Operational Data Store, Metadata, Master Data, and Unstructured Data) The Solution Architect's primary responsibilities include developing data architecture strategy, data integration strategy, developing data reference models, leading data architecture evaluations, assessing impact of change to data architectures, data models, messaging models, and developing a master data management strategy.
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big data hands on jobs in Arlington, VA
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