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Overall 8+ years of experience as developer in Big data technologies like Databricks/Spark and Hadoop ecosystems. Experience in developing Spark applications using spark-SQL in Databricks for data extraction, transformation and aggregation from multiple file formats for analyzing and transforming the data to uncover insights into the customer usage patterns.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Build and deploy batch and streaming pipelines to collect and transform our rapidly growing Big Data set within our hybrid cloud architecture utilizing Kubernetes/EKS, Kafka/MSK, and Databricks/Spark.
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Areas of focus will include but not be limited to blockchain, cryptocurrency, artificial intelligence, machine learning, cybersecurity, data privacy, virtual reality / augmented reality, big data/predictive analytics, and social platforms.
$195,000 a yearFull-timeExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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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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Experience with Azure Synapse, Databricks, ADLS Gen 2, Google Analytics, Firebase, Big Query, Event Hubs, Kafka, Salesforce, SAP, and CDP platforms. Data Evangelist: Promote data product adoption through training and webinars.
$140,000ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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.
$218,700 a yearFull-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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SRE / DevOps role supporting NextGen Platforms built around Big Data Technologies (Docker-Container, Podman, Jupyter Notebook, Hadoop, Spark, Kafka, Impala, HBase, Ansible, Kubernetes, OpenShift and many more.
$71.68 an hourFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies. Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire.
Full-timeExpandApply NowActive JobUpdated 6+ months ago - UpvoteDownvoteShare Job
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Familiarity with Big Data is preferred. Propose new database architecture and support data migration from an existing Legacy system to a new structureCreate source-to-target mapping documents to transform the source data into the target warehouse and test final transformations.
$115,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience building and managing production-grade data pipelines using tools such as Airflow, dbt, DataHub, MLFlow. Youll be part of a close-knit team of data engineers developing and maintaining a data platform built with automation and self-service in mind to support analytics and machine learning data products for the next generation of our T3 Fleet that enable end-users to track, monitor and manage the health of their connected vehicles and deployed assets.
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This technology leader will bring in the experience of SaaS/cloud solutions (Snowflake/Azure/AWS), data engineering techniques, DevSecOps automation and best practices in building, maintaining, and enhancing state of the art Data Architectures, Platforms and Services.
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Experience leading the design/implementation of configuration driven, scalable, reliable services and big data workflows/pipelines using EMR, Kafka, Spark, Hive, Airflow or equivalents. Works with internal and external stakeholders to understand product demand and help manage CMDB and platform data requirements, ensuring alignment with CSDM and McDonalds standards.
Full-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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3+ years of experience in batch and streaming ETL using Spark, Python, Scala, Snowflake, or Databricks for Data Engineering or Machine Learning workloads. Enable data discovery and curation for analytical purposes by collaborating with data scientists and providing data integration solutions.
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We are looking for a senior data solutions engineer with extensive experience in the big data and data warehouse ecosystems. In addition, be a key contributor in delivering critical business features with a passion for big data technologies.
ExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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Exposure to cloud platforms and big data systems such as Hadoop HDFS, Hive is a plus. 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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