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Design and implement distributed data processing pipelines using Spark, Hive, Python, Airflow, and other tools and languages prevalent in the Hadoop ecosystem. As a Sr. Big Data Engineer, you will work with a variety of talented teammates and be a driving force in technical initiatives that will accelerate analytics at Client.
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Job Description : 8+ years of extensive IT experience with multinational clients working in diverse fields of software development lifecycle with experience in Big Data/Hadoop Ecosystem.
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Will work with the Data Architect to deploy old legacy systems in Azure cloud, for a big-data ecosystem at enterprise scale; assess the data architecture in place and work with core mesh team to continuously enhance and evolve data tech stack.
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Experience working within a Big Data ecosystem, with tools such as Databricks , Spark etc. Support and develop NATO HQ and Enterprise initiatives such as the development and maturation of the Data Exploitation Ecosystem.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience with Big Data platforms such as Databricks or Apache Spark. Experience with the Azure Ecosystem (Azure Data Lake, Azure Data Factory, Azure Databricks, Azure Machine Learning (AML), Azure Cognitive Services, Azure Storage.
$66,000 - $185,000Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Experience with data streaming infrastructure deployment (e.g., Spark Streaming, Kafka, Azure EventHub, or EventBridge) Design, build, test and maintain the Machine Learning platform supporting Data Science initiatives.
$66,000 - $185,000Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Experience with performance tuning with applications processing large amounts of data. Experience with Azure DevOps (ADO) Experience with Machine Learning cloud technologies such as Azure Machine Learning (AML), AWS SageMaker or Spark ML.
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Data Strategy: Requires knowledge of understanding of business value and relevance of data and data enabled insights / decisions; Appropriate application and understanding of data ecosystem including Data Management, Data Quality Standards and Data Governance, Accessibility, Storage and Scalability etc; Understanding of the methods and applications that unlock the monetary value of data assets.
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Experience deploying and running services in AWS, and engineering big-data solutions using technologies like Databricks, EMR, S3, Spark. Experience in Java/ GoLang/Python data ecosystem.
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Familiarity with big data technologies such as Apache Spark, Hadoop, etc. You will work on features that touch all Apple Services Engineering Commerce services — from account management, application, music, and video purchase / download / entitlement, subscription management, and a lot of new features coming to the Apple product ecosystem.
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This role will join a team developing the next generation of V2X Connectivity/Vehicle to Ecosystem business solutions drawing on state of the art technologies including big data, mobility, cloud platforms, intelligent analytics and the Internet of Things (IoT), for solving business problems across product design, sales and after sales functions in the automotive industry.
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Description The Liberty Mutual US Technology Data and Analytics Engineering (DAE) team is seeking a passionate Solution Architect for its Data Strategy & Design (DS&D) team to design our multi-year data & technology strategy for a holistic data ecosystem enabling business and technology capabilities through solutions in data management, Lakehouse, Business Intelligence, Data Science/Advanced Analytics via cloud technologies.
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Work extensively within the Cloud ecosystem ( Data platforms like GCP Big Query) Experience using Data Warehousing and Business Intelligence tools such as Datastage / Informatica, GCP Bigquery, Tableau and SSRS, etc.
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5+ year support experience of Big Data technologies in Hadoop ecosystem - Hive, HDFS, MapReduce, Spark, Yarn, Kafka, Pig, HBase, Sqoop, Elastic Search, Kerberos. Extensive experience in designing, engineering and managing data lake ingestion, validation, transformation and consumption services leveraging cloud data tools like Hive, Spark, EMR, Glue ETL and Catalog, Snowflake etc.
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We specialize in Big Data & Analytics, Digital Transformation, IT Service Management, Cognitive Solutions, Artificial Intelligence, IOT & Future Networks, DevOps, Enterprise Applications & Managed Infrastructure Services & Industry Specific Solutions.
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