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Experience working with big data distributed programming languages, and ecosystems such as Spark, Hadoop, MapReduce, Pig, Kafka. Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modeling platforms such as Azure AutoML, SageMaker, DataBricks, DataRobot, and H2O.ai.
$150Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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6 years of experience must include: Ab initio, Informatica, Data Stage; Teradata, IBM DB2, Cognos, Oracle PL SQL; Autosys, Control-M, Erwin, XML, HTML, CSS, Unix Shell Scripts; Data Analysis, Data Processing, Code Optimization, Performance tuning; Automating Business Process and Models; Microsoft Visio, Web Services, Crystal Reports; and HP Quality Center, ALM, VSS, EME, XSD. At least 3 years must include: Hadoop, HDFS, Big Data, Hive, Spark.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Hands-on experience with cloud platforms (e.g., AWS, Azure, Google Cloud Platform) and containerization technologies (e.g., Docker, Kubernetes), code management tools and frameworks (e.g., Ci/CD, Git) for understanding and managing big data solutions.
Full-timeExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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Big Data Platform Engineering manages a significant distributed Cloudera HDFS storage footprint, has recently adopted Airflow and has also started to explore other Open Source offerings, such as Ozone.
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The position requires a big thinker, external facing technologist with solid knowledge, experience and background of Cloud, Containers, ML, GenAI, API paradigm, Security (IAM), deeper understanding of platforms (Databricks/Snowflake/SaaS), Hyperscale's (AWS, Azure, GCP) and industry standards with solid coding and design skills.
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Cloud Big Data Solutions: Design and implement cloud big data solutions (AWS/Azure/GCP) with a deep understanding of Apache Hadoop and related tools such as Sqoop, Flume, Spark, Kafka, Hive, Pig, etc.
$150ExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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We seek a Data Engineer who brings a robust skill set and extensive experience in cloud-based data engineering experience particularly within the realm of Azure and Databricks using Python, PySpark and cloud SQL. Critical thinking and problem-solving abilities are paramount, as you will navigate evolving and complex requirements and collaborate with stakeholders across diverse technical backgrounds.
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Expertise in Azure Data Factory (ADF), Azure Synapse Analytics and Azure Data Lake Storage (ADLS). This role is pivotal to the success of our data engineering team, as it involves working with cutting-edge tools and technologies to deliver robust data solutions.
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Big Data Tools: Familiarity with big data processing frameworks (e.g., Apache Spark, Hadoop) ● Experience with Data Processing: Hands-on experience with Databricks (4+ Years ) related to data cleaning, preprocessing, and feature engineering.
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At Vector Security We Think Big, Do the Right Thing, and Make a Difference Every Day! You can earn this and other sales incentives as a Vector Security Commercial Sales Rep! Now it's your turn to build your sales legacy: We are expanding our sales force and are looking for the very best to represent Vector Security.
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Direct experience with Mergers/Acquisitions, specifically O365 data migrations (email, Onedrive, SPO) and AD migrations is a plus. Knowledge of local and wide area networking on multiple platforms: Windows, Linux, and VMware; network protocols and routing; network, server, and host operating systems; IP networking, internet, and intranet technologies; email, office automation and collaboration technologies; voice and/or data communications; voice and/or data networking; Windows desktop OS; server hardware, software, and administration.
$52.1 - $69.6 an hourFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Implement and configure big data technologies as well as tune processes for performance at scale. - Responsible for data engineering functions including, but not limited to data extract, transformation, loading, integration in support of modern cloud computing platforms like Azure and Databricks.
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The ideal candidate will have a robust understanding of big data processing, experience with Apache Spark, and a proven track record in Python programming. Experience with at least one cloud provider (AWS, Azure, GCP), including their big data processing services.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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Experience with big data technologies (e.g. Apache Spark, Hadoop) and data processing frameworks. Integrate data platform infrastructure with other systems fostering seamless collaboration among teams e.g. system integration with Fivetran, Monte Carlo, Salesforce Data Cloud, Tableau, Looker, Teradata, Bigquery.
$128,000 - $171,175 a yearFull-timeExpandApply NowActive JobUpdated 26 days ago
big data jobs Title: technologist Company: Hca Healthcare in Irving, TX
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