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Proven experience as a Technical Lead with a focus on Databricks and big data technologies on Azure Cloud Platform. Optimize the performance of big data processing tasks and analytics jobs.
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We’re looking for an experienced Data Engineer to join our growing team focused on building, supporting and enhancing the Oracle Hardware Division’s (OHD) big data and analytics platform.
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Big Data Engineer. Senior / Lead Data Engineer (Python + Java/Scala) Senior Software Engineer – Data | SEB, Vilnius. Senior Data Engineer - DataOps.
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Experience with big data technologies (Hadoop, Hive, Presto, Pig, Spark, etc.) The Data Engineer will get to work with data at scale. Specifically this role will lead and contribute towards building aspects of centralized event driven data streaming platform and services focused on LSE(Large Scale Events) prevention and mitigation, data center operations, and hardware quality management for Oracle Cloud Infrastructure (OCI.
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We provide self service tools to enable data discovery, data processing, data mining and research, reporting, and machine learning/AI, all built using OCI services and industry standard open source distributed computing tools.
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We are actively hiring for Big data engineer. Hands-on experience building, testing, and optimizing ‘Big Data’ data ingestion pipelines, architectures and data sets.
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As a Data Engineer, you will be an essential contributor on our Technology team, a highly collaborative group that solves Edmentum’s big data challenges. · 1 or more years of experience working with non-rdbms data warehouse/lake stores (such as Big Query, Snowflake, Databricks Delta Lake, or Redshift.
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Knowledge & experience in data streaming technologies such as Apache Kafka, Flink etc. This includes ingesting and processing large data volumes of hardware telemetry from every machine in our Cloud data centers, both in batch and near-real time.
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Experience with Azure Synapse, Big Data or Snowflake is a plus. Senior Data Engineer. Data Lake Platform (Engineer/Admin) Skills required: Azure Data Factory, DataBricks, Data Lake Architecture, Azure DevOps, Python, SQL, solid understanding of Azure fundamentals and security best practices, Release management.
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As a Staff DevOps Engineer-Hadoop Admin on our Big Data Federal Team you will help deliver 24x7 support for our Private Cloud infrastructure. Architect and drive the end-end Big Data deployment automation from vision to delivering the automation of Big Data foundational modules (Cloudera CDP), prerequisite components and Applications leveraging Ansible, Puppet, Terraform, Jenkins, Docker, Kubernetes to deliver end-end deployment automation across all ServiceNow environments.
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Support the development and evolution of our Data Platform. Collaborate with cross-functional teams, engineers, and program/product management on building optimized and forward looking data tools, insights and reporting mechanisms that drive the business forward.
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We are looking for engineers who are creative, passionate about data and its application in building solutions, and are excited to work at scale to solve customer problems. Build robust, highly available, performant, scalable and reliable data services.
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As a Big Data Administrator, you will be responsible for managing our Big Data infrastructure and tools within the Cloudera ecosystem. Administer and manage cloud-native Big Data technologies and container orchestration systems, with a focus on Kubernetes (Openshift or equivalent.
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Have previously designed and built complex, highly scalable/reliable data pipelines, using the Big Data ecosystem (Hadoop/Hive/Spark/Presto/Airflow/Kinesis or equivalents) Haber diseñado y construido previamente pipelines de datos complejos, altamente escalables/fiables, utilizando el ecosistema Big Data (Hadoop/Hive/Spark/Presto/Airflow/Kinesis o equivalentes.
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Experience in the definition of Big Data architecture with different tools and environments: Cloud (AWS, Azure and GCP), Cloudera, No-sql databases (Cassandra, Mongo DB), ELK, Kafka, Snowflake, etc.
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big data jobs Title: senior engineer Company: Wells Fargo Bank
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