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Implement Ingestion of new batch and streaming data pipelines using Scala, Databricks, and Airflow. Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query.
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Big Data Technologies : Experience with big data technologies and tools such as Apache Spark, Hadoop, Apache Cassandra, and distributed computing frameworks for handling large-scale datasets.
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Exposure to big data technologies such as Spark, AI, Data Science, Data Engineering, Hadoop, Cassandra, etc. Minimum 10 years in a technical role delivering projects in Data Analytics, Machine Learning, Cloud Computing Platforms, and Service-oriented architecture, with a preference for Large Language Model (LLM) technology.
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You are someone who has experience with and enjoys wearing many hats related to data, from developing big picture data strategy, to analyzing data for a stakeholder presentation, to writing code to optimize data flow into a data warehouse or a dashboard data source.
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These technologies may include artificial intelligence, machine learning, statistical techniques, mixed integer linear programs, reporting/big data analysis, dashboarding, data integration, and other heuristics/algorithms.
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Familiarity with AI frameworks and tools such as TensorFlow, PyTorch, and OpenAI. Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Google Cloud, Azure.
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Latitude specializes in providing highly skilled former in-house counsel and Big Law attorneys for flexible contract engagements and permanent positions in dozens of practice areas, including commercial contracting, data privacy, M&A, employment, litigation, and more.
$200,000 - $295,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class.
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Experience with BI/Visualization tools Knowledge of version control systems such as Git. Experience utilizing Agile methodology Knowledge of ITIL processes Strong communication, project management and organizational skills Basic understanding of Operating systems, networking concepts and application architecture patterns Ability to code with scripting languages such as Python, Bash, groovy etc., Knowledge of big data toolset: Hadoop, Spark, Kafka, Hive, sqoop etc.
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Ability to code with scripting languages such as Python, Bash, groovy etc.,Experience with Container Orchestration platforms such as Docker, Kubernetes etc.,Experience with big data toolset: Hadoop, Spark, Kafka, Hive, sqoop etc.
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Your sense of ownership is needed as you take on responsibility for data compliance and data access honesty reporting for Refinitiv and direct relationship exchanges in Americas, managing Americas accrual inventory system including managing the accrual to allowable limits and reconciling and resolving accrual variance.
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Demonstrate knowledge of and keen interest in automation and digitization of transfer pricing processes, including: Working with large, complex data sets to build models and leverage data visualization tools to provide insights into the transfer pricing function and the business more broadly Utilizing digitization tools in support of the Company's technology and transformation strategy in the areas of reporting, TP documentation, operational transfer pricing, etc.
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Scala Spark, Python, Big Data, Kafka, AWS, Oracle SQL, Hive SQL, Databricks, and Jenkins. Scala Spark, Python, Big Data, Kafka, AWS, Oracle SQL, Hive SQL, Databricks, and Jenkins. AWS (ECS/Fargate, Lambda, DynamoDB, API Gateway, EC2, Kinesis, ELK, RDS.
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Experience with sales data modelling, analytics and data visualization, artificial intelligence, and machine learning technologies. Accenture's SAP practice, and we bring the New to life using design thinking, agile development methodologies, and the latest smart tech like IoT, automation, and AI. We even built myConcerto, a mix of SAP and Accenture that helps lead our clients to big wins.
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Consulting/Advisory (preferably Big 4 or Big 3) with a focus on finance effectiveness, strategy and operations, analytics, performance improvement or technology. Our strategic engagements are often surrounding operational and financial reporting which commonly emphasizes forecasting, profitability analysis, process improvement and data analytics.
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big data jobs in Philadelphia, Schuyler, Nebraska
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