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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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Big Data Technology Proficiency: Engage with a range of Big Data technologies, including but not limited to Spark, Presto, Hadoop/HDFS, Hive, and more. Hands-On Customer Engagement: Work directly with customers on intricate deployments, leveraging your expertise in Big Data both on-premise and in cloud environments to maximize the potential of the Alluxio platform.
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As the global leader in experience-centric operational analytics, Conviva has redefined big data analytics with our paradigm-shifting Time-State Analytics model. Proficiency in major big data frameworks, such as Akka, Spark, Flink, Hadoop/Hive and others.
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But child care, adoption, and surrogacy are big decisions. At T-Mobile, we strongly encourage everyone, including people of color, veterans, military spouses, individuals with disabilities, lesbian, gay, bisexual, transgender, queer and non-binary people, and parents to apply.
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3+ years of experience as a hands-on Data Engineer/Architect including ETL jobs, data pipelines, and Big Data analytics. Evolve Gauss Lab’s data infrastructure and tools and technical lead for the design, building, and launching of new data models and data pipelines within our products.
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Experience with big-data cloud-computing infrastructure solutions in AWS or Azure (DataBricks,Elastic Stack, MapReduce, etc. One of the following AWS Certifications: AWS Certified Cloud Practitioner, AWS Certified SysOps Administrator (Associate), AWS Certified DevOps Engineer (Professional) -or- AWS Certified Big Data (Specialty.
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Experience with Big Query, Airflow, Looker or any other Big Data platform. 3+ years as a Front end developer with web technologies to include Vue.js, HTML5, CSS, JavaScript. Experience with Big Query, Airflow, Looker or any other Big Data platform.
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Do you have prior experience in building data platforms/data lake and analytics SaaS services in the public cloud with expertise in modern Big Data stack (Apache Spark, Hadoop, Kafka, Flink, Hive etc.
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Data mapping; Data custodians; Computer forensics; Archives; Assisted reviews; Attachment backups; Batch processing; Big data; Boolean searches; Chain of custody; Coding to find identifiers; Data extraction; Hash; Hosting; Legacy data; Load files; Normalization; Processing.
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Experience with S3 or scale-out storage (Ceph, Luster, Gluster, etc)Experience with relational database technologies (MySQL, PostgreSQL, OracleDB, etc)Familiar with big data: ElasticSearch, Cassandra, MongoDB, Spark, or HDFSInfrastructure Automation (puppet, chef, ansible, saltstack)Experience with web services (Nginx, Varnish, Apache, HA Proxy)Knowledge of virtual platforms (vSphere, Xen, Docker, or KVM.
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In collaboration with the Executive Director, the Associate Director will focus on shaping the strategic overview and vision, encompassing student programming and engagement strategy, stewardship of the Board of Directors, cultivation of University and community partnerships, Hillel's involvement in Stanford's "Big 5" weekends, and management of student-facing communication.
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Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
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Hands-on Experience in Big Data tools, using Hadoop, Kafka, Spark, Presto, Airflow, Elastic Search, Docker and Kubernetes. Plumes technology stack is among the deepest in silicon valley, covering embedded firmware, mass data pipeline and processing, big data analytics, SDN controller framework, customer API integrations, WebUI management interfaces and consumer facing mobile apps.
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Prior experience in the Home Improvement Industry (specific experience in Landscape Design, Landscape Architecture, Pavers and/or the Synthetic Turf industry would be a BIG plus!) Prior experience in the Home Improvement Industry (specific experience in Landscape Design, Landscape Architecture, Pavers and/or the Synthetic Turf industry would be a BIG plus.
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Bonus if they have knowledge of data warehouse platforms Redshift, Big Query, Dada bricks, Airflow. Experience with data warehouse platforms (e.g. Redshift, BigQuery, Databricks, Bonus if they have knowledge of data warehouse platforms Redshift, Big Query, Dada bricks, Airflow.
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big job Title: lead in Redwood City, CA
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