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Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Experience engineering big-data solutions using technologies like EMR, S3, Spark, Databricks.
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Big Data Expertise : 3+ years of hands-on experience with major Big Data technologies and frameworks, including Spark, Hive, ZooKeeper, HDFS, Presto, Hadoop, MapReduce, Tensorflow, and more.
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Self-driven, challenge-loving, detail oriented, teamwork spirit, excellent communication skills, ability to multitask and manage expectationsNice to have:Experience in any of: machine learning, analytics, data mining, or data mart and warehouseExperience with Deep Learning platforms (Tensorflow/Keras/Spark MLlib) and SQL/Unix/ShellExperience with machine learning algorithms, NLP, and/or statistical methods a big plusYahoo is proud to be an equal opportunity workplace.
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Utilize Databricks for big data processing and streaming analytics. Experience with big data technologies, such as Apache Hadoop, Spark, Kafka, and others. Stay current with emerging trends and technologies in cloud computing, big data, and data engineering.
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Experience in implementing machine learning algorithms in big data environments. Experience in building and optimizing big data pipelines, architectures, and data sets.
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Leverage AWS cloud services like S3, Redshift, EMR, Glue, Lambda, and others in combination with Data Lakehouse platform/Apache Spark Integration for advanced data processing and analytics.
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This position requires a blend of skills in cloud computing, data engineering, and analytics. Ensure high standards of data quality and implement data governance practices. BS in Computer Science, IT, Software or Computer Engineering, Data Science or Analytics, Mathematics or related field.
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Develop and maintain data lakes and data warehouses on AWS and Data Lakehouse Platform, ensuring data integrity and accessibility. The Cloud Data Engineer plays a crucial role in designing, implementing, and managing advanced data solutions using both AWS and Data Lakehouse platforms.
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Familiarity with ETL tools, processes, and data integration techniques. 3-5 years of data engineering experience. Automate data workflows and ensure high data quality and reliability.
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Cloud Data Engineer. Understanding of data modeling, data warehousing, and data lake concepts. Provide ongoing support for the platform, troubleshoot any issues that arise, and ensure high availability and reliability of data infrastructure.
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Experience in designing, building, and maintaining data warehouses. Design and implement scalable and efficient data pipelines using AWS and Data Lakehouse Platform services. Optimize data storage and processing for performance and cost efficiency.
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Monitor the performance of data processes and queries and optimize for efficiency and speed. Organizing and managing data within the environment, ensuring stored efficiently, securely, and in a manner that supports easy access and analysis.
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Collaboration with data scientists and analysts is also key, ensuring the platform meets analytics needs while staying updated with the latest technologies and practices in the field. Monitor, troubleshoot, and resolve data pipeline issues.
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Proficiency in AWS cloud services and Databricks. AWS and Databricks certifications. Proficiency in programming languages such as Python, Java, Scala, and scripting languages like Bash or PowerShell.
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As an affiliate of Aramco, one of the world's largest integrated energy and chemicals companies, we continue to invest strategically and expand globally, driving unparalleled product innovation and sustainable business solutions.
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big data jobs Company: Bluepipes in Grand-island, United Kingdom
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