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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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Skills: azure data factory (adf),azure data engineering,python,big data technologies,databricks,azure,pyspark,sql. The ideal candidate will be proficient in tools and technologies like Pyspark, Azure Data Factory (ADF), Databricks, big data technologies, SQL, and Python.
$50,000 - $70,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Comfortability with data warehouses and big data technologies such as Redshift, Snowflake, Big Query, Presto, Athena, Spark, DBT. Remote Data Scientist. The ideal candidate will be adept in navigating the data stack and able to support initiatives in all facets from analytics/data engineering and product analytics to machine learning.
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Job Description: The big data architect will support the development of autonomous driving software solutions by playing the role of subject matter expert for the big data systems, underlying data and data products.
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Our direct client is seeking a Big Data Engineer for a 6-month contract-to-hire opportunity with their Newark, NJ location. AWS Solutions Architect or AWS Big Data Certification preferred.
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Artificial Intelligence (AI), Big Data, Cloud Computing, Computer Coding, Critical Thinking, Machine Learning, Microsoft Power BI, Model Building, Problem Solving, Python (Programming Language), Statistical Analysis.
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Job Title: Big Data Architect IT Consultant Master (ONSITE) The client seeks an experienced IT Consultant to support the design, development, implementation and maintenance of an enterprise Big Data solution as part of the client Data Modernization Effort.
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Have previously designed and built complex, highly scalable/reliable data pipelines, using the Big Data ecosystem (Hadoop/Hive/Spark/Presto/Airflow/Kinesis or equivalents) Haber diseñado y construido previamente pipelines de datos complejos, altamente escalables/fiables, utilizando el ecosistema Big Data (Hadoop/Hive/Spark/Presto/Airflow/Kinesis o equivalentes.
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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.
$190,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Specialized training in Data Engineering, Data Science, Machine Learning, Big Data Platforms (Spark, Kafka, Hadoop, H2O, etc.) LICENSING/CERTIFICATION Any certification specializing in data engineering, big data, data science, machine learning, artificial intelligence, or statistical analysis from accredited institutions of higher learning.
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Big Data Expertise : 3+ years of hands-on experience with major Big Data technologies and frameworks, including Spark, Hive, ZooKeeper, HDFS, Presto, Hadoop, MapReduce, Tensorflow, and more.
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Palantir Data Foundry, Python, Hadoop DW Architecture, Hive and PySpark Snowflake knowledge is a plus Client Domain knowledge, Data Modeling, Framework build on Ingestion, Audit, Logging and Reconciliation they comply with.
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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 candidate should have expertise in data modeling, SQL, Python, R, data warehousing, big data technologies, data pipeline construction, data quality, cleansing, version control, cloud services, machine learning, feature engineering, deep learning, and natural language processing.
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Implement solutions using big data technologies such as Hadoop, Spark, and others to handle large-scale datasets. Experience with big data technologies and data warehousing.
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big data jobs Title: data manager Company: Eliassen Group
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