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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.
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1+ years’ experience in Big Data Distributed ecosystems (Hadoop, SPARK, Unity Catalog & Delta Lake) 1+ years’ experience in Big Data Distributed systems such as Databricks, AWS EMR, AWS Glue etc.
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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.
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Areas of focus will include but not be limited to blockchain, cryptocurrency, artificial intelligence, machine learning, cybersecurity, data privacy, virtual reality / augmented realty, big data/predictive analytics, and social platforms.
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Specific experience in writing Big Data engineering for large-scale data integration in AWS; prior experience in writing Machine Learning data pipelines using Spark programming language is an added advantage.
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Experience with big data technologies Hadoop, Spark) and cloud platforms 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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The ideal candidate will possess knowledge of research or clinical applications related to genetics and genomics such as oncology, precision medicine, precision nutrition, newborn screening, health professions genomics education, rare diseases, big data analytics/secondary data analysis, ethics and policy related to genomics and precision health, or other related areas.
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As a big data engineer at Booz Allen, you'll implement data engineering activities on some of the most mission-driven projects in the industry. We need an experienced data engineer like you to help our clients find answers in their big data to impact important missions—from fraud detection to cancer research to national intelligence.
$172,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The ideal candidate will also have a foundational understanding of big data platforms like Databricks, platform automation using Python and APIs, server-side experience with Linux OS, and a solid grasp of AWS fundamentals.
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Must have 2 years of experience coding; testing; developing big data solutions/applications; dashboards, project modules; performing scripting, visualization; reviewing requirements; maintaining design documentation; using Hadoop, MapReduce, Spark, Kafka, Hbase, Java, Python, AWS. Must be willing to travel/relocate to unanticipated locations throughout the US on short notice for extended periods of time.
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In HADOOP , you'll be given an introduction to BIG DATA, APACHE HADOOP, HADOOP ECOSYSTEM, CLOUDERA QUICKSTART VM along with core concepts of the Hadoop framework including MapReduce, HIVE, PIG, SQOOP, FLUME, HBASE, OOZIE.
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Internal knowledge of open source or related big data technologies. As a member of the Data Engineering Web3 team, you own the ETL/ELT pipelines and data warehouse that are used to analyze trends and activity in our Web3 product offerings.
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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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Design and develop scalable data warehousing solutions, building ETL pipelines in Big Data environments (cloud, on-prem, hybrid) Hands-on experience with distributed systems such as Spark, Hadoop (HDFS, Hive, Presto, PySpark) to query and process data.
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big data jobs Title: hadoop Company: Tata Consultancy Services in NM, Missouri
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