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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. Stay updated on advancements in data science, machine learning, and analytics.
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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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Hands-on experience in the development, deployment, and operation of integration technologies (e.g., APIs) Proficiency with data warehouses (e.g., Snowflake, SQL Server, Redshift, Big Query, etc.
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Extensive professional experience with Big Data systems, data pipelines and data processing. Hands-on experience building and delivering Enterprise Data Solutions.
$207,000 a yearFull-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Have knowledge of Amazon Redshift Amazon S3 AWS DevOps AWS Glue Catalog AWS CloudWatch AWS Autoscaling AWS EC2 Big Data Amazon EKS Amazon RDS AWS Elastic Blob Storage AWS Cloud Formation Risk Management MWAA (Airflow) Java and Unix.
$130,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Highly influential and ability to educate stakeholders on the role of data and its purpose in the business. Expertise in Data visualization tools such as Power BI, Tableau and Looker is a plus.
$248,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Required 8 Years Written and oral communications Required 10 Years Background in data integration between business systems Required 6 Years Requirements analysis and data modeling Highly desired 6 Years Experience working with SSIS,Azure Cloud, ADF and Data Bricks Nice to have 6 Years Experience with other data integration tools and techniques including IIB, MFT,web services, messaging and other modern data warehousing Nice to have 6 Years Questions No. Question Candidate.
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New York City (Hybrid On-Site): $149,000 - $149,000 for Data Science Intern San Francisco, California (Hybrid On-site): $158,000 - $158,000 for Data Science Intern Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
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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. Our experienced teams help organizations manage transformation in IT, data, cloud, and security with a focus on their customers and their people.
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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. The Virginia Department of Transportation (VDOT) Information Technology Division is seeking a senior Data modeler to develop Data models for Data Assets and implementation of a cloud-based data management platform that will support the agency.
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The Data Center Construction MEP Project Manager is primarily responsible for leading and managing the design, preconstruction and construction activities on a given project(s). The Project Manager will interact on a daily basis with Facilities, Contractors, Designers, Engineers, Commissioning Agents, Vendors, and Data Center Operations staff and should have both written and oral communication skills commensurate with this level of regular communication.
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The Virginia Department of Transportation (VDOT) Information Technology Division (ITD) is seeking a Master Data Analyst with demonstrated experience in data analytics to work as a key member of Enterprise Data Asset team.
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7+ years of experience implementing with a variety of on-premises and cloud data management, integration, visualization, and analytical technologies. Ability to assess traditional and modern data architectural components based on business needs.
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Work with big data repositories like SnowFlake, Data Lake and streaming data. 5+ years of experience with event-based data movement, Spark, and Big Data repositories (including Snowflake, data lakes.
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on big data jobs Company: Directv in Richmond, VA
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