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Proficiency in data engineering tools and technologies - SQL, Python, Spark, DBT, Airflow, Kafka. Solid experience implementing data lineage, data quality and data observability for big data workflows.
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Solid experience with architecting and implementing metadata management including data catalogues, data lineage, data quality and data observability for big data workflows.
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Primary responsibility will be to work closely with the Data Architects and Machine Learning Team to implement data solutions for the organization using Python, Java, Kafka and other big data solutions, creating technical specification documents and test plans.
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Familiarity with using cloud services (AWS, Google, Azure) or Big Data tools (Hadoop, Hive, Spark) in data science solutions. Bachelors or Masters degree in quantitative field, Engineering, Computer Science, Physics, Applied Mathematics, Statistics, Economics, or related fields.
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Work with analytics, data science, and wider engineering teams to help with automating data analysis and visualization needs, advise on transformation processes to populate data models, and explore ways to design and develop data infrastructure.
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Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT.
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As a engineer with Retail, Site Reliability Engineering team, you will be at the forefront of Cloud and Big Data technology. Maintain data integrity and access control by using AWS security tools and services such as HSM, IAM, etc.
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Hands-on experience with Databricks for big data analytics and optimization. Previous experience in machine learning or AI-driven data engineering solutions. Ensure data quality and integrity across all data engineering processes.
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Intercontinental Exchange (NYSE:ICE) is seeking a Senior Java Developer with a strong interest in analyzing and visualizing large datasets using big data technologies such as Kafka and stream processing.
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The researcher will engage with diverse datasets, encompassing social media big data, electronic health records, unstructured clinical narratives, registry information, and patient surveys to support clinical decisions and influence policy direction.
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As an engineer with the Retail, Site Reliability Engineering team, you will be at the forefront of Cloud and Big Data technology. Manage and optimize data streaming and API components in OpenShift Onpremise and AWS.
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The ideal candidate will have a Bachelor's or Master's degree in Computer Science, Engineering, or related field, with proven experience in data engineering on AWS. Key skills include proficiency with AWS services (S3, Glue, EMR, Redshift, Athena, Kinesis), programming (Python, Scala), and big data frameworks (Apache Spark, Hadoop.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Applying knowledge and work experience in Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL/ELT pipeline development (tools: IICS/AWS Glue/SAP BODS/Matillion/DBT/Abinitio/SSIS/SnapLogic); preferable in P&C/L&A Insurance data warehouse.
$202,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Candidate will be given the opportunity to learn and make use of sophisticated tools (SQL, Alteryx, Informatica, SAS, Tableau, SSRS, DataRobot etc) and technologies (Big data like Hadoop, Python/R Programming, AI/Data Science, ) to provide customized automated solutions across multiple business segments.
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Knowledge of other enterprise backup software products such as Veritas Backup Exec, Commvault Simpana, Microsoft Data Protection Manager (DPM), IBM Spectrum Protect (Formerly Tivoli Storage Manager) is a big plus.
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big data engineering jobs in Atlanta, ME, Canada
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