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Design and manage Big Data solutions, including AWS EMR, EMR Studio, and Azure Databricks. You will be responsible for designing, implementing, and managing cloud infrastructure, CI/CD pipelines, and ensuring the scalability, security, and reliability of our cloud and DevOps services, with a specific focus on Big Data technologies.
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Experience with data warehouse platforms such as Redshift, Databricks, Big Query, Snowflake. 6+ years' experience in engineering data pipelines using big data technologies (Spark, Flink etc.
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Comfortability with data warehouses and big data technologies such as Redshift, Snowflake, Big Query, Presto/Trino, Athena, Spark, DBT. We’re looking for an experienced Data Scientist to support our Go To Market teams as they expand across product categories and geographic markets.
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Experience with financial datasets (e.g. Refinitiv, S&P, Bloomberg) is a big plus. Hudson River Trading (HRT) is looking for a Data Production Engineer to join our Data team. Onboard datasets, explore data, and automate tasks using a modern Python data stack.
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This role is W ONLY (NO CC per client requirements)MUST HAVE:-+ years of experience as a Business/Data Analyst working in Data Warehouse, Master Data Management-Strong SQL -Tableau OR Power BI-Data Governance -Knowledge of Government/Public Sector/Education organizations, hierarchies and structure is a BIG PLUS Responsibilities :The firm has an exciting career opportunities for a Data Analyst within the Data Strategy and Enablement group.
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Familiarity with data privacy standards, methodologies, and best practicesPractical hands-on experience with data technologies and Cloud Platform like Hadoop, Hive, Redshift, Big Query, Snowflake, Databricks, GCP and Azure.
$148,800 - $248,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with big data technologies (eg: Hive, Spark, Presto) Big Data Specialization. Architect scalable data models and construct high quality ETL pipelines that act as the backbone of our core data lake, with cutting edge technologies such as Airflow, DBT, Databricks, Redshift, Spark.
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The courses may include Foundations of Data Analytics and Programming, Advanced Excel for Data Analytics, Data Governance, Management and Quality, Data Visualization-Power BI, Data Visualization-Tableau, Data Privacy and Integrity, Data Protection, Descriptive Analytics, Predictive Analytics, Data Complexity, Cloud Analytics, Big Data, various programming courses and concepts involving python, r and ML, and database courses (including MySQL, Microsoft SQL Server and NoSQL alternatives.
$1,054 an hourPart-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficiency in SQL and multiple programming languages for building data pipelines including Python, Scala, Spark, and Java. Experience in multi-threaded, concurrent programming and synchronization Cloud technology experience on platforms like AWS, Microsoft Azure, Google Cloud Experience developing Big Data applications using java, Spark, Kafka is a huge plus.
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Hands-on experience using modern big data pipelines (AWS, Google Cloud, Snowflake)AI/ML models, Natural language process (NLP) and data mining experience Required Experience:Degree within Computer Science, Data Engineering, or a related field.
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Bonus if those were open-sourced big data processing frameworks using technologies like Spark, Airflow, Kafka, Flink, Iceberg, Deltalake. Prior technical experience in Big Data solutions - you've built meaningful pieces of data infrastructure.
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Big data and distributed systems (Spark, Databricks, Athena) Applying big data solutions to national security problems [Link] Data & Storage – S3, Athena, PostgreSQL, Elasticsearch/OpenSearch, Dynamo, Redshift, MongoDB.
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Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure). We are seeking a talented and experienced Data Scientist to join our team onsite at Warner Robins Air Force Base (AFB), GA. This role is integral to harnessing data to support mission-critical decisions in a secure defense environment.
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Big Data, Cloud Storage, Data Center Storage, HDD, Helium HDD, Backup Recovery, Data Federation, Virtualization, Personal Storage, Cloud Computing, SQL on SSD, SQL Data Storage, VDI, Flash Memory Storage, NVMe, Memory Card, Embedded Storage, USB Storage, SSD, Object Storage, Software, Storage Solutions, and Data Technology.
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Familiar with or desire to understand Big Data platforms Experience: Data Architecture/Design: 3 years (Required) Hadoop Lucid Charts Visio Snowflake Oracle or SQL Preferred Ideal candidates must pass a background and drug screen.
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big data jobs Company: Nationwide in NJ, France
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