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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 with distributed data architectures and big data processing technologies (Spark, EMR, Hadoop, Hive) In-depth knowledge of Data management concepts, data modeling techniques and methodologies in an all-cloud ecosystem dealing with Big Data.
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Visit Mindshare online at A minimum of four to five years’ experience preferred; the Data Engineer is responsible for the design and build of cloud-based data solutions, working with other team members to manage the development and maintenance of business intelligence and data quality compliance tools.
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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 building and optimizing big data data pipelines, architectures and data sets. 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.
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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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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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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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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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Develop and oversee all the functions of the Data Integrity and Program Management team. Must have excellent healthcare financial and operational data analysis and reporting skills. Oversight of the vendors responsible for the quarterly accuracy & availability surveys, the annual Provider Satisfaction survey as well as data accuracy and adequacy.
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data job Title: big data engineer Company: Change Healthcare in Westbury, NY
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