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Depth of understanding of business intelligence software such as Datorama, an expertise in media data and financials (PRISMA, Ad Servers) and cloud base services such as Snowflake, Databricks, Azure.
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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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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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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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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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Capable of performing modeling and display building tasks for DMS. Experience and skills in Alstom Grid/Client Habitat and database modeling environment, Alstom Grid/Client Display Builder, Alstom Grid/Client e-terraSource, Alstom Grid/Client Substation Editor.
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Morgan, Lewis & Bockius LLP, one of the world’s leading global law firms with more than 4,000 lawyers and staff in 30 offices is seeking a Data Engineer, Data Science to work closely with the team to construct and maintain technical platforms that efficiently collect, manage, and transform raw case data into actionable insights for legal teams and business analysts.
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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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This role is critical in harnessing the power of Big Data, Lakehouse, Data Virtualization, Transformation and Integration technologies to enhance our product offerings and drive business growth.
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Demonstrated proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks.
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Serves as both the primary agent for addressing issues that impact students at risk of failing to attain their full academic potential and the school-based resource for dealing with child abuse/neglect and crisis prevention/intervention.
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At least 4-6 years combined legal experience at a top law firm and/or in-house legal department, with at least 4 years of privacy/data protection experience. Handle privacy and data protection-related inquiries related to commercial transactions from a wide range of groups across the company and provide actionable advice and legal counsel to facilitate privacy and data protection compliance.
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At least two (2) years of experience with Databricks - Expertise in designing and deploying data applications on cloud solutions, such as Azure or AWS - Comprehensive understanding of data management best practices including demonstrated experience with data profiling, sourcing, and cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching.
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The Sportsbook team here at Penn is responsible for working hand-in-hand with our Data Science, Engineering, and Data teams to support efficient development and deployment of models, forecasts, and simulations to help improve theScore Bet and ESPN Bet. Our team values creativity, collaboration, ingenuity, and ownership.
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Deloitte Risk and Financial Advisory's Financial Services Industry (FSI) Risk, Data and Regulatory professionals help organizations identify the regulatory changes impacting their business and implement effective and efficient processes to manage regulatory, capital, liquidity and interest rate risks, respond to evolving regulatory environments and implement programs, measures, and tools to help clients with a specific focus on risk, data, and regulatory processes.
$107,659 - $207,763 a yearFull-timeExpandApply NowActive JobUpdated Today
big data jobs Company: Servicenow in Philadelphia, PA
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