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Utilize Databricks for big data processing and streaming analytics. Experience with big data technologies, such as Apache Hadoop, Spark, Kafka, and others. Stay current with emerging trends and technologies in cloud computing, big data, and data engineering.
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Big Data Platforms: Experience with Databricks for big data processing and analytics. Preferred Qualifications:Certifications: AWS Certified Solutions Architect or AWS Certified Big Data – Specialty.
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Experience with big data platforms and tools like Azure Databricks, Azure HDInsight, or similar. Familiarity with big data technologies like Hadoop, Spark, and Hive. Experience in writing queries (SQL, Python, R, Scala) as needed and experience with various data technologies such as Azure Synapse or SQL Server, Snowflake, Databricks.
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8+ years of direct experience in Big Data, Data Warehousing, Data Analytics, and/or Information Management related projects, Snowflake preferred. 5+ years of direct experience in cloud data solution architectures, design and development including ETL, data warehousing, data lakes, and big data.
$124,100 - $206,900 a yearFull-timeExpandUpdated 21 days ago - UpvoteDownvoteShare Job
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5+ years experience in one or multiple Big Data or cloud environments (e.g. AWS, Google AI/ML Platform., Snowflake, Databricks) The Expert Data Scientist will be a champion of the latest Machine Learning and Artificial Intelligence technology stack.
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AWS Solution Architect Professional Certification or AWS Big Data Speciality CertifiedCapital One will consider sponsoring a new qualified applicant for employment authorization for this position.
RemoteExpandUpdated 22 days ago - UpvoteDownvoteShare Job
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Data Engineering experience including ETL processes, data warehousing, and big data technologies (e.g., Hadoop, Spark). In this role, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs.
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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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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.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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ETL Development:Develop, unit test, and deploy ETL solutions using Talend modules such as Talend Open Studio for Data Integration, Big Data, ESB, Data Quality, etc. We are seeking an experienced Talend ETL developer to join our team and build the next generation of data systems to support our clients.
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Experience in building big data solutions, ensure the guardrails, security and compliance of our GCP environment, Strong knowledge of Cloud security standards and principles including Identity and Access management.
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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.
$148,800 - $248,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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We offer an array of services including Core Business Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud Adoption, Mobility, Digital Adoption, Agile & DevOps, Quality Assurance & Test Automation.
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Experience with data migration and tooling for Databricks is a plus. Hands-on experience with Databricks for data engineering and analytics. Data Engineer- FTE, Wissen Technology, Virginia - Hybrid.
Full-timeExpandUpdated 1 month ago - UpvoteDownvoteShare Job
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Three (3) or more years creating or recommending content creation in SIEM/Big Data Solutions, preferred. Cortex XDR, XSOAR, Splunk, Elasticsearch, MISP, FireEye AX,EX,NX,CMS, security orchestrator, Cisco NGIPS/Sourcefire, Palo Alto firewall, McAfee, Cylance, Tanium, Snort, Bro, Suricata, Jupyter notebooks, EnCase, Access, Data FTK, volatility, Wireshark, Nessus/Security Center, Nmap, Metasploit pro, Windows Event forwarding, SolarWinds, Logstash, syslog, ysmon, one way data diodes, IDA Pro.
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big data jobs in Richmond, VA
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