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Experience building big data pipelines with Hadoop, Java, Scala, and Spark. The ASE Search team powers search for iTunes, App Store, Apple Music, Apple TV, Podcasts, Books and more on iOS, macOS, tvOS, watchOS, web browsers, 3rd party devices, and Windows.
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The infrastructure managed by the Data Infrastructure team provides various data processing related to Coupang services, including log analysis, recommendation, price comparison, AB testing, search indexing, advertising, and rocket delivery.
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The customer and search intelligence team is a team of data scientists within Prime Video’s discovery organization. - 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc.
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Apply Java Engineer seeking transition to Data Science NOT STATED. Bachelor's or higher degree in quantitative subjects, experience in Java or Python programming, familiarity with underwriting P&C insurance/reinsurance Related Articles A Comprehensive Guide to Python Cloud Computing Remote Jobs Guide to Remote Jobs in Python, Kubernetes, and Golang.
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Data analysis and tool development using Python, Java, VBA. GIS software, such as ArcGIS. Traffic safety analysis. Provide technical leadership, identifying and addressing needs based on experience in engineering, transportation modeling, data analysis, and design.
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A proven track record in building and maintaining big data platforms for streaming and batch data processing, data engineering, building backend systems and APIs. Strong hands-on coding experience in Java, Python, SQL and comfortable diving into any new language or technology.
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Experience with data processing technologies and tools, such as Spark, Hadoop(HDFS, Hive, MapReduce), Athena, Airflow, Luigi. Build big data processing pipelines using Spark and Airflow. Proficiency in one or more of the programming languages we use: Python, Java, or Clojure.
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We are looking for a Lead Data Engineer to design, augment and elevate the metrics used to measure our consumer facing search, recommendations, promotions, and messaging experiences. You will leverage workflow scheduling applications and data ingestion infrastructure that powers the analytics and data science behind our flagship streaming applications - Disney+, Hulu, ESPN+, and Star.
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Experience with automation and DevOps practices in preferred- including Infrastructure-as-Code, code testing tools, CI/CD, configuration management/application deployment automation which leverage languages such as: Python, Terraform, Ansible, Java, Salt, Chef, Puppet.
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Professional certifications related to data architecture (e.g., TOGAF, AWS Certified Solutions Architect) are a plus. Key outputs include alignment of the data platform architecture, platform design, data modeling, data integration design, standards documentation, architecture to support partner solutions, and performance aligned with the overall goals and objectives for Apptio's business and vision.
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Strong knowledge of anti-money laundering (AML), know your customer (KYC), General Data Protection Regulation (GDPR), Payment Card Industry Data Security Standard (PCI DSS), and other relevant data and financial regulations.
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3+ years of industry experience in software engineering roles and development experience in Python, Golang, Java, and/or other programming languages. Build and productionize machine learning models including data preparation/processing pipelines, machine learning orchestrations, improvements of services performance and reliability and etc.
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Proven experience in data engineering roles with a strong track record in designing, implementing, and maintaining Data Warehouses, particularly on the Google Cloud Platform and BigQuery.
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The role requires proficiency in patent prosecution, with a preference for expertise in electrical engineering, software-related technologies, data science/AI, networking technologies (especially network security), machine learning/artificial intelligence, and hardware security.
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OCI Data Services has a strong portfolio of OLTP Services, such as, PostgreSQL, Redis, Aries Storage Platform for ADB-S. The key priorities include - driving large customer adoption; critical features like Cross-Region Replication, Extensibility of PSQL (Vector, Timescale, GIS ; New PSQL versions; Rapid build out of data services in new regions; Strategic initiatives like multi-cloud support and Operational Excellence to handle disruptive events.
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