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This role will provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations for the District of Columbia government, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
$90 an hourExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Build a highly functional and efficient Big Data platform that brings together data from disparate sources and allow FinThrive to design and run complex algorithms providing insights to Healthcare business operations.
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Big Data Technologies: Strong knowledge of big data technologies and frameworks, such as Apache Hadoop, Apache Spark, Apache Kafka, Apache Hive, or Apache Flink. Understanding of big data technologies such as Hadoop, Spark, and related ecosystem components (e.g., HDFS, Hive, Pig.
ExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Als Senior Big Data Engineer arbeitest Du in mehreren Teams mit u.a. Data Engineers, -Architects und -Scientists zusammen, um hochmoderne Data Analytics-Plattformen aufzubauen und zu betreiben.
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Job Title: Sr. Big Data Developer. Job Description : 8+ years of extensive IT experience with multinational clients working in diverse fields of software development lifecycle with experience in Big Data/Hadoop Ecosystem.
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The team owns both the critical data infrastructures from log ingestion, batch & stream processing, big data query & workflow systems, and also the data processing & ETL pipelines for data warehousing and business intelligence.
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Diplômé·e d’études supérieures dans le système d’information, computer sciences, big data (école d’ingénieurs, école spécialisée ou équivalent universitaire), vous justifiez d’au moins 5 ans en Data engineering.
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Data Warehousing: Familiarity with data warehousing concepts and technologies, like Azure Synapse, Amazon Redshift, Google BigQuery, or Snowflake. Familiarity with cloud-based data platforms (e.g., AWS Redshift, Google BigQuery, Azure SQL Data Warehouse) and related services.
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Experience working with cloud or on-prem Big Data/MPP analytics platform (i.e. SnowFlake,Netezza, Teradata, AWS Redshift, Google BigQuery, Azure Data Warehouse, or similar). Sia Partners is looking for a talented Data Engineer to support our activities within the Data Science Business Unit. You will be working alongside with our Data Science consultants and our clients on Data Engineering topics, including creating relevant data models, developing powerful data pipelines, exposing them through various mechanisms including APIs, and using data visualization tools to efficiently present data.
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Proficiency in big data processing, including Apache Spark or Databricks. Proficiency in building and optimizing big data and real time pipelines, datasets, and architectures in cloud environments, preferably Azure using services such as Event Hubs or Kafka.
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The DC Office of the CTO seeks an experienced IT Consultant to support the design, development, implementation and maintenance of an enterprise Big Data solution as part of the OCTO Data Modernization Effort.
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As a Sr. Big Data Engineer, you will work with a variety of talented teammates and be a driving force in technical initiatives that will accelerate analytics at Client. Big Data Engineer.
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As a data architect, you will focus on the big picture of an organization’s data strategy. Our team is responsible for enabling Hims & Hers business (Product, Analytics, Operations, Finance, Data Science, Machine Learning, Customer Experience, and Engineering) by providing a platform with a rich set of data and tools to leverage.
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Were looking to expand our Big Data Engineering team to keep pace. 5+ years experience in large-scale software development/Big Data technologies. Client is embracing Big Data technologies to enable data-driven decisions.
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We are interested in a variety of topics including data visualization and interactivity, applied machine learning and AI, AI bias and trust, big graphs, natural language processing, data mining, big data management, and heterogenous data analytics.
ExpandApply NowActive JobUpdated 8 days ago
big data jobs Title: business analyst Company: Verizon
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