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Human-Centered Data Science (e.g., databases, big data, information retrieval, robotics, artificial intelligence, information visualization) Cultural Heritage Informatics (e.g., archives, digital collections, preservation, digital curation, digital humanities, museum studies, metadata, cultural studies of information technology, history of information, critical data studies.
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Stay up-to-date with emerging technologies and industry trends in cloud computing, big data processing, and data engineering. What you will likely bring:Strong experience in Microsoft Azure Proficiency in data processing frameworks such as Azure Spark, or cloud-native data processing services (Azure Data Lake, Azure Data Factory, Azure Databricks, Azure Synapse, Snowflake, CosmosDB) Experience with data integration and ETL (Extract, Transform, Load) processes, including tools like cloud-native orchestration services.
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Office of the Attorney General of Texas requires the services of 3 Data Scientist (Big Data Engineer) 2, hereafter referred to as Candidate(s), who meets the general qualifications of Data Scientist (Big Data Engineer) 2, Data/Database Administration and the specifications outlined in this document for the Office of the Attorney General of Texas.
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Skilled in multiple programming languages and statistical analyses/ machine learning tools (Python, R, SAS, SQL, Pyspark) and extensive experience in Big Data platforms (AWS, S3, Azure/Databricks.
$264,800 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Substantial experience operating big data infrastructure in a cloud-based ecosystem (Databricks preferred). Experience with leading cloud and data platforms such as AWS, Databricks, Azure, Sagemaker, etc.
$305,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiarity with Databricks for big data processing and advanced analytics. Utilize Databricks for big data processing and advanced analytics. Knowledge of cloud computing and data warehousing solutions (e.g., AWS Redshift, Snowflake.
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2 years of direct experience using technologies like AWS, Azure, Google Cloud, and big data technologies. Ensure familiarity with AWS, Azure, Google Cloud, and big data technologies.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Softrams is a Maryland and Virginia-based small business information technology, consulting, and solutions provider specializing in emerging technologies for UX/UI, mobile apps, DevOps, big data analytics, data science, and cyber security.
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Big Data: Hadoop Architecture, Map Reduce, Apache Spark Framework, Spark Batch, and Stream Processing jobs. Work on big data, streaming, distributed messaging technologies to meet the functional/non-functional business requirements.
$175,100 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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AWS, Azure, Oracle) Knowledge of Infrastructure as Code (IAC) languages, preferably Terraform Strong knowledge of databases (SQL and NoSQL) Experience with Kafka, Apache Spark, Lucene and other big data technologies Disclaimer:Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.
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Experience with other technologies used including Docker, AWS, NIFI, Jenkins, Hibernate, Oracle and PostgreSQL Database along with Redshift and Dynamo DB. Experience with Apache Spark and Kafka is a big plus.
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Expertise and experience in delivering large-scale systems using big data technologies including but not limited to: Enterprise scale Kafka, Splunk, Prometheus, and other Time Series databases.
$213,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Key Skills : Snowflake, Big data processing, Python, pyspark, ETL. From Data engineering, we need folks with experience in Big data processing, Python, pyspark, ETL, feature engineering etc.
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LI-AS3 Redhat Linux Support Engg The Linux support engineer role will be responsible for administration of Linux servers used by Hadoop application Duties and Responsibilities: •Able to quickly adapt to new technical concepts and tools •Installing, configuring, and troubleshooting Oracle Linux 7 and Red Hat Linux 8 servers in Big Data Hadoop clusters and Database Linux servers.
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Amazon is applying the latest big data technologies available to change the way marketers purchase, track, measure, and optimize their advertising spend. Are you passionate about using Big Data to build customer trust and grow new business.
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