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Experience with Data Ops (VPCs, cluster management, permissions, Databricks configurations, Terraform) in Cloud Computing environments (e.g., AWS, Azure, GCP) and associated cloud data platforms, cloud data warehouse technologies (Snowflake/Redshift), and Advanced Analytical platforms (e.g., Dataiku and Databricks.
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We are working on challenging projects, migrating ETL jobs from Talend to DataBricks, building workflow automation solutions using Microsoft Power Platform, data flows with Azure data lake storage and DevOps environment set up.
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Experience with Azure Synapse, Databricks, ADLS Gen 2, Google Analytics, Firebase, Big Query, Event Hubs, Kafka, Salesforce, SAP, and CDP platforms. They are looking to add a Sr Data Product Expert to their growing analytics team.
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You Have: 3+ years of experience in batch and streaming ETL using Spark, Python, Scala, Snowflake, or Databricks for Data Engineering or Machine Learning workloads. 3+ years orchestrating and implementing pipelines with workflow tools like Databricks Workflows, Apache Airflow, or Luigi 3+ years of experience prepping structured and unstructured data for data science models.
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Experience with Snowflake/BigQuery, Google Dataproc/Databricks or any big data frameworks on Spark. Position SummaryAs a Lead ML/AI Engineer, you will drive the design and implementation of functionality related to the end-to-end ML/AI and Feature lifecycle management on Azure/Google Cloud Platform, leveraging and integrating the cloud native services with other standard operational and automation tools.
$267,800Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience leveraging complex data to drive business decisions, hands on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Pytong, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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We are looking for a Senior Data Engineer to help us continue to build the next evolution of our data platform in a scalable, performant, and customer-centric architecture. Primary responsibilities for a Senior Data Engineer.
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Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates.
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Job description Infosys is seeking an Azure Databricks Cloud Data Architect. At least 7 years of Information Technology experienceHands on experience in architecting Cloud data solutions using Azure Synapse, Databricks, Python, PySpark, SQLSignificant experience with Cloud Data lake technologies and complex data architecture and models.
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As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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Cyber Security Technology (CST) is a globally distributed team responsible for cyber security innovation and architecture, engineering, solutions and capabilities development, cyber resiliency, access management engineering, data strategy, deployment maintenance, technical project management and information technology security control support.
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The Senior Identity Security Engineer - Cloud is a key individual contributor on the Identity & Authentication Services Team. We're looking for an enthusiastic, inspired, creative thinker who can develop innovative strategic security solutions to complex business problems.
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We're doing this by leveraging the power of patterns (Anti-Corruption Layering, Strangler fig, Microservices, Event Sourcing, etc) and technologies (Kafka, Solace, Change Data Capture, Node.js, Go, Containerization, PaaS) to build cloud-native solutions for the enterprise based on modern event driven architectures.
$224,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Machine Learning Engineer – Work From HomeWe are seeking a talented and self-motivated Machine Learning Engineer to join the growing data science efforts. The ideal candidate will be responsible for designing, developing, and enhancing the Python data science tools and frameworks.
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We are looking for a Network Engineer with experience designing, deploying, and scaling networks for large HPC environments to meet the requirements of a premiere algorithmic trading firm. Working with remote data center teams to solve challenging problems, such as hardware, cabling, optics and more.
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databricks big data engineer jobs Title: data engineer sr Company: Kroger in Chicago, IL
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