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Experience managing information security technologies such as IDS/IPS, SIEM, endpoint detection & response, DLP, data encryption, proxies, and network access control, as well as security policies and procedures, and incident response.
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In this role specifical, the Principal Data Scientist (Deep Learning) will lead algorithmic solution design, rapid prototyping, and technical review for the ML/AI models underlying personalized user experiences and content promotion.
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Experience working with modern data engineering tech stack and platforms (Databricks, Snowflake, AWS Services, DBT) Experience working with real-time data streams processing and ingestion frameworks ( Apache Kafka, Kinesis, Flink or Spark Structured Streaming.
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The successful Architect will be able to drive high priority data initiatives using AWS, Databricks, and Snowflake. Experience with DevOps, and DataOps (GitHub Actions, Terraform, Azure DevOps, data governance tools) are a plus.
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Experience with SharePoint Syntex / AI Builder, Snowflake, MLFlow, Forms Recognizer, Power Automate, Databricks, Azure SQL, Cognitive Services, and Azure ML.Strong understanding of data architecture principles.
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Expertise in ERP implementation and migration projects, with a focus on data migration and system integration. Ensure data migration accuracy, integrity, and completeness while minimizing downtime and disruptions to business operations.
$120,000 - $160,000 a yearFull-timeExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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Micro-batch streaming and continuous streaming process in Databricks for high latency, low latency and ultra-low latency of data accordingly by using inbuilt Apache spark modules. Strong hands-on expertise in building Data engineering solutions using Apache Spark and Scala.
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Experience building modular and reusable ETL or ELT pipelines to cloud data warehouses such as BigQuery, Redshift or Snowflake. Building, monitoring, and supporting data transformation pipelines using our data warehouse (BigQuery) and data modeling tool (DBT.
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Familiarity with data exploration / data visualization tools like Tableau, Looker, Databricks, etc. We are seeking a Manager to guide, mentor, challenge, and develop the Core Data Engineering team within the Disney Entertainment & ESPN Technology.
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Experience with data visualization (e.g., R Shiny, Tableau, Spotfire). Experience with data wrangling, data matching, and ETL techniques while programming in several languages (Python, R, SQL, and Spark) to extract and transform data from a variety of data sources (Oracle, SQL, Hadoop.
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As part of the Direct-to-Consumer Recommendation Sciences team, the Principal Data Scientist will be responsible for creating machine learning solutions for NBCU's video streaming service including but not limited to, content recommendations, product experience personalization, and personalized ad services.
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Build the batch and streaming data pipelines critical to Ramp's daily operations using Airflow, Snowflake, ClickHouse, Kafka, and other data processing technologies. The Data Platform team develops and owns the systems that enable Ramp's reporting and strategic decision-making and integrate machine learning models into our operational systems and the product itself.
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The Associate Data Engineer will support building approachable and reusable data structures to access to raw data, but to do this, they need to understand company’s or client’s objectives.
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Act as a subject matter expert on Provider Data Management goals and strategies for operational excellence. Reporting to the Vice President of Provider Network Operations, the Director of Provider Data Integrity and Program Management is responsible for ensuring the highest standards are met for accuracy, accessibility, and availability of the network, including oversite of various vendors.
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Expertise with SQL, Python and data visualization tools (i.e., Looker, Tableau, Thoughtspot) You will help shape our data strategy, establish excellence in solving business problems and develop insights that guide our roadmap, design decisions and marketing strategies across our artist and fan platforms.
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data job Title: data engineer Company: Change Healthcare in Hicksville, NY
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