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At least 2 years of hands-on experience with Azure, databricks and Hadoop distributed frameworks while handling large amount of big data using Spark and Hadoop Ecosystems. At least 3 years of hands-on experience in using Azure Data Factory (ADF) to orchestrate data ingestion from various sources into Azure Synapse and Azure Data Lake Storage (ADLS.
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Experience with multiple large-scale Enterprise Hadoop or Big Data, Data Bricks, Cloudera, HD Insights, or other environments focused on operations, design, capacity planning, cluster set up, security, performance tuning and monitoring.
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Hands-on experience integrating open-source components into data-analytic solutions. 7-10 years of hands on Pyspark/Databricks development experience. AWS services such as Glue, EMR, Lambda, Step Functions, CloudTrail, CloudWatch, SNS, SQS, S3, VPC, EC2, RDS, IAM, Node JS, Glue ETL, Sprak Streaming, Data Streaming.
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Hands-on experience with Databricks and Snowflake for data engineering and analytics. NOTE: THIS POSITION IS TO JOIN AS W2 ONLY. Data Engineer with Databricks Location: Remote Duration: 6+ Months Daily Responsibilities: Design, develop, test, deploy, maintain, and improve software applications and services.
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10+ years hands-on experience working with large scale data solutions; covering strategy, data preparation, data quality, ETL, data viz. 10+ years of designing solutions utilizing key data providers and hyperscalers (e.g., Snowflake,Databricks, AWS Sagemaker/Bedrock, GCP AI Platform/Vertex AI, and Azure.
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We're helping patients get the best care possible by working on digital health experience, analyzing big data to streamline the delivery of care, and reaching out to medically complex patients to better understand their needs.
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As a data engineer for the Auto Lending Platform Data Engineering and Analytics team, you will get to work on the most cutting-edge Fintech products that Capital One is building for its customers.
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Utilize Big Data Analytics with Python, R, and Tableau to leverage AI/ML for operational modeling, anomaly detection, task automation, and zero-touch network performance management. Expertise in data and VoIP network architecture, infrastructure, traffic engineering, and NMS/EMS/OSS/BSS operations.
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Must have six (6) years of experience with: Hands-on software development, data engineering, and systems architecture; Data Lake Infrastructure, Data Warehousing, and Data Analytics tools; Developing Enterprise Data Models; Data modeling, data warehousing, and building high-volume ETL/ELT pipelines; Building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets.
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Experience with one or more additional Platforms: Kubernetes, Grafana, Elastic/ELK, AppDynamics, New Relic, Kafka, Kibana, AWS, PCF, Prometheus, DataDog, Splunk, Apigee, Big Panda, Tensor Flow. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.
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8+ years of advanced hands-on experience in deploying, configuring, and managing certificated lifecycle management (KMS), Public Key Infrastructure (PKI), Certification Authorities (CA), Hardware Security Modules (HSM), Registration Authorities (RA), Root CA, Azure Key Vault, Thales, Venafi, Keyfactor, and Entrust integration experience (PKI/HSM/KMS/CRL/CRT.
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Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products and now we are building America’s First Smart Network.
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Hands-on experience with IaC tools such as Terraform and Ansible. The ideal candidate will have hands-on experience with database management and a solid understanding of IaC tools and practices to ensure our database environments are scalable, reliable, and efficient.
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10+ years hands-on experience working with large scale data solutions; covering strategy, data preparation, data quality, ETL, data visualization. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity.
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Raytheon is hiring a Principal Release Train Engineer to support our teams in Richardson, Texas. Experience performing the role of Release Train Engineer. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement.
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hands on data engineer big jobs Title: engineer in Plano, TX
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