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Master's in Computer Science/Applications, Information Technology/Systems or Electronics/Electrical Engineering + minimum 1 year experience as Big Data Engineer, Data Engineer, Data Engineering Specialist, Data Warehousing Analyst or related occupation.
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Architect and Design: Design and implement scalable data solutions using AWS services (e.g., AWS EMR, AWS Athena, AWS Dynamo DB, AWS Glue, AWS S3) and Big Data technologies (e.g., Hadoop, Spark, Presto.
$202,276 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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We are seeking a talented AWS DevOps/MLOps Architect to develop platforms for big data and data science on AWS. As models, apps, and data pipelines are created and operationalized, the bigdata and data science team requires engineers with understanding of cloud native technology to develop, manage, automate, and facilitate the operational capabilities of the big data and data science team.
$58 an hourExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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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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Performance Tuning of Big data Hadoop Platforms ( Cloudera , Horton work ). Performance tuning of Cloudera/Horton work big data platforms. Strong experience in Cloudera/Horton work Big data platforms.
ExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Fluent in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Internal knowledge of open source or related big data technologies. Circle is a financial technology company at the epicenter of the emerging internet of money, where value can finally travel like other digital data — globally, nearly instantly and less expensively than legacy settlement systems.
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Architect and drive the end-to-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-to-end deployment automation across all ServiceNow environments.
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Advanced technical certifications: AWS Certified Cloud Practitioner, Solutions Architect, Certified Developer, or SysOps Administrator certifications; RHEL RHCSA/RHCE; AWS Certified Data Analytics, DASCA Big Data Engineering and Analytics preferred.
Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience with Big Data frameworks (e.g. Hadoop MapReduce, Spark, Hive, Kafka) Expertise with Google Cloud Platform’s distributed Machine Learning, Data Science and Data Engineering tools (e.g. BigQuery ML, VertexAI, AutoML, Docker, Kubernetes, Kubeflow, Dataproc.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Deep knowledge of Big Data technologies such as Spark and Cloud ETL tools like Databricks, with a focus on scalability and real-time processing capabilities. Understanding of Big Data technologies and frameworks, including Spark and Cloud ETL tools such as Databricks.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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As a member of the Data Engineering - Business ETL team, you own the data warehouse and data pipelines that are used for financial and regulatory reporting. 2+ years of professional data engineering experience.
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Exposure to natural language processing, image processing techniques, and big data stacks like Hadoop or Apache Spark is highly desirable. Proficient in utilizing big data processing frameworks such as Apache Spark and Hadoop for handling and analyzing large datasets, enabling the extraction of meaningful insights from voluminous data.
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5+ years of experience with cloud-based big data platforms like Databricks, and expertise in distributed computing frameworks such as Apache Spark. You will work extensively with tools like Azure Data Factory (ADF) for orchestrating data workflows and Databricks for big data processing and analytics.
$50 an hourExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Solid experience with big data technologies (Apache Spark, Hadoop, Kafka) and cloud services (AWS, Azure) related to data processing and storage. As a Lead Data Engineer within the Trailblazer initiative, you will play a crucial role in architecting, implementing, and managing robust, scalable data infrastructure.
Full-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Being a domain expert on data modeling, data pipelines, data quality and data warehousing of financial data. Designing, building and maintaining data ETL/ELT pipelines to source and aggregate the required data for various data analyses and reporting needs.
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big data jobs Title: technology lead Company: Optello
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