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Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with hands-on experience in cloud-based ML services and serverless architectures. adidevtechnologies.com) is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more.
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As a member of the Knowledge Services team, you will join us in creating high-impact internal services focused on delivering operational insights and alerts to data engineering teams working on some of Apple's most important Big Data datasets (App Store, Apple Music, TV+, Podcasts, Arcade, and others.
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Apache Spark : Develop the de facto open source standard framework for big data. Experience with distributed systems, databases, and big data systems (Spark, Hadoop). As a software engineer on the Runtime team at Databricks, you will be building the next generation distributed data storage and processing systems that can outperform specialized SQL query engines in relational query performance, yet provide the expressiveness and programming abstractions to support diverse workloads ranging from ETL to data science.
$192,000 - $260,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Design and develop data processing pipelines in the Big Data ecosystem using Spark, Flink, Kafka, Presto, etc. As a Data Engineer 2 you will be working on delivering the strategic vision of critical Item and assortment planning processes with a near-real-time data platform, you will be a key part of our Nordstrom Technology team that applies scientific, mathematical, and social principles to design, build, and maintain technology products, devices, systems, and solutions.
$121,500 - $188,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Help us deploy and scale the next generation of cloud security utilizing big data and Analytics. We are looking for a Principal Engineer to join the team that is building our latest cloud security product - Data Loss Prevention(DLP.
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You have working knowledge with Cloud Technologies such as Docker, Kubernetes, AWS CLI, AWS CloudFormation, and AWS services including EC2, EMR, EKS, S3 and Big Data ML toolkits, such as SparkML and Amazon SageMaker.
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Experience deploying and running services in AWS, and engineering big-data solutions using technologies like Databricks, EMR, S3, Spark. Experience with large-scale distributed data processing systems, cloud infrastructure such as AWS or GCP, and container systems such as Docker or Kubernetes.
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8+ years core Scala/Java experience: building business logic layers and high-volume/low latency/big data pipelines. You enjoy challenging projects involving big data sets and are cool under pressure.
$60 - $70 an hourExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Good Understanding of various database technologies (DB2, Teradata, Oracle 10g/11g, SQL server, Big data/Hadoop, PostgreSQL) Create, design, and execute the test plans and test cases which covers ETL Process and Data Warehouse validation.
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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.
$130,000 - $160,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with at least 3 of the technologies/tools mentioned here: HAProxy, Kafka, Big Data/ Hadoop, Presto, Spark, Airflow, Pinot, Druid, Opensearch, Gcp, Data Proc. Experience scaling production systems running Big Data tools like Spark, Hadoop, Apache Druid, Looker.
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Experience working with machine learning frameworks (e.g. scikit-learn, xgboost, PyTorch, TensorFlow) and distributed big-data tools (Spark, Hive) Design, develop and deploy large scale, big data-driven machine learning models that are integrated with key product features.
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Role: Big Data Engineer. 1+ years experience with GCP/Azure Cloud Big Data tools (PowerBI/DataLake/ Azure Databricks). 2+ years experience with Apache Spark and Data bricks cloud tool sets (AWS or Azure.
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Understanding of Google Cloud Platform (GCP) technologies in the big data and data warehousing space (BigQuery, Cloud Functions, etc. Experience with data platform and visualization technologies such as Google plx dashboards, Data Studio, GoogleSQL, and BigQuery.
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Basic knowledge of big data technologies (e.g., Hadoop, Spark, Kafka) is a plus. This internship opportunity will provide hands-on experience in data management, ETL (Extract, Transform, Load) processes, and working with big data technologies.
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big data jobs Title: engineer Company: Inc
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