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Strong project experience in Big Data, Cloudera Distribution. experience in Big Data, Cloudera Distribution 7. experience building data pipelines using Hadoop components Sqoop, Hive, Solr.
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Experience with the Big Data technologies is a plus (Redshift, Hadoop, M/R, Hive, Spark, Metastore, Presto, Flume, Kafka, ClickHouse, Flink etc) Design and optimize the big data architecture, including data collection, data governance, data security, data warehouse, data application, algorithm application etc.
$160,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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ETL, Big data platform (ADLS / Data Bricks / AI / ML / Synapse / DBT). Prepare and present potential technical designs and solutions for Data pipelines and DataOps in GCP and Azure cloud environments.
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Building automation monitoring tools for Big Data and working with data engineering-related tools and technologies, including: Kafka, Data Warehouses, and Apache Airflow.
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Experience using big data technologies (Snowflake, Airflow, Kubernetes, Docker, Helm, Spark, pySpark) Research and evaluate new technologies in the big data space to guide our continuous improvement.
$160,000 - $280,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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CCIE R&S, or CCIE data center certifications and AWS certified solutions architect is a big plus. Experience operating in a modern cloud environment such as AWS, GCP, or Azure or large-scale data centers is a plus.
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Knowledge of one or more of the following Computer Science disciplines: parallel programming, embedded systems, high performance computing, scientific data analysis, machine learning, systems programming, software engineering, and big data technologies.
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Implementing Data pipelines on Databricks with Scala. Provide solution and design Customer Data Platform for Data pipelines, Integrations with Activation Platforms and DataOps in GCP and Azure cloud environments.
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Optional Skills:Angular, Apache Hadoop, Apache Hadoop Administration, Apache Kafka, Apache Spark, Apache Storm, Big Data, Cloud Infrastructure, Docker (Software), Docker Swarm, Innovation, Internet of Things (IoT), JavaScript, Kubernetes, React.
$154,800 - $212,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our ALOHA and Voltaix products are critical to the manufacturer of the newest computer chips required for Big Data and the Internet of Things. Experience with or understanding of thin film processes (semiconductor, flat panel display, solar) and/or ALD/CVD process knowledge.
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Knowledge of the modern data stack landscape (Airflow, Dagster, dbt, Atlan, Alteryx, Collibra, Talend, Databricks, Snowflake, Tableau, Metabase, Mode, Superset, Fivetran, Stitch, etc.) You will leverage your intellectual curiosity, analytical mindset, and cross-functional program management skills to define & execute data governance and Master Data Management (MDM) strategies, and foster a culture of data-driven decision-making.
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Design, implement, and maintain robust DevOps pipelines for deploying, monitoring, and scaling machine learning development and data engineering. You will apply modern ML Ops, Devops, and data engineering stacks to enable development, training, deployment, and lifecycle management of a variety of ML capabilities; supervised and unsupervised, deep learning and classical.
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Come join Lawrence Livermore National Laboratory (LLNL) where our employees apply their expertise to create solutions for BIG ideas that make our world a better place. Expertise in one or more science disciplines, such as shock hydrodynamics, solid/fluid mechanics, materials science, particle transport, radiation transport, nuclear physics, plasma physics, or physical chemistry.
$132,810 - $204,636 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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5 or more years of demonstrated Experience with HR People Analytics, Workforce Intelligence, or Learning and Talent analytics preferably in corporate HR setting (e.g., Organizational Effectiveness, HR Metrics/Analytics, Data Science, Talent Analytics, Market Research.
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Contribute to driving the eCommerce data strategy and roadmap by offering additional insights and suggestions for improvement while collaborating with external partners and vendors, assisting in project scoping, prioritization, and successful execution.
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big data jobs Title: big data architect Company: Wells Fargo in Pleasanton, CA
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