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Hands-on experience implementing enterprise metadata management programs, including deployment of enterprise taxonomy and ontology, and delivering data governance solutions. - Minimum of 4 years of hands-on experience implementing ASG Rochade data catalog, data governance, data lineage, data privacy, and data quality capabilities.
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Our growing data teams are looking for a savvy Lead Data Engineer to join and help build and evolve the next generation of Audience & Identity data platform that handles data at scale and uses state-of-the-art technologies to unlock the data's business value.
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3+ years of hands-on experience with AWS services like S3, EMR, Glue, EC2, ECS, IAM, Cloudformation, Athena, Lambda, and other AWS services. 5+ years of hands-on work in the field of software development.
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This position may be filled by either a Data Center Engineer level or a Principal Data Center Engineer level based on the qualifications listed. Basic Qualifications: Data Center Engineer (T02): Bachelor of Science Degree in a STEM (Science, Technology, Engineering or Math) related field with 2 or more years of engineering experience or MS with 0 years or more year of engineering experience or Ph. D. with 0 or more years of engineering experience Active in scope DoD Top Secret Clearance Ability to obtain and maintain initial Special Program Access (SAP/PAR.
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Experienced in cloud architecture, design, and hands on knowledge of core CRM application, data integration & mastery services such as SalesForce, MuleSoft, Informatica. Ability to lead large scale data projects in a cloud or cloud/ on premise hybrid model.
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Required: Technical experience to include process support and working/hands-on knowledge of plastic extrusion processes and thermoforming at large scale. Lead Engineering support for Corsicana plant to include plastic extrusion, thermoforming and printing.
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Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Feature Engineering and Optimization: Develop and maintain ETL pipelines using orchestration tools such as Airflow and Jenkins; deploy scalable streaming and batch data pipelines to support petabyte scale datasets.
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Production experience with developing content recommendation algorithms at scale and familiar with metadata management, data lineage, and principles of data governance. Our team develops, implements, and maintains recommendation and personalization algorithms for Disney Streaming's suite of streaming video apps, notably Disney+ and Hulu. As a member of this team you will collaborate across Engineering, Product, and Data teams to apply machine learning methods to meet strategic product personalization goals, explore innovative, cutting edge techniques that can be applied to recommendations, and constantly seek ways to optimize operational processes.
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Experience building and deploying full stack ML pipelines: data extraction, data mining, model training, feature development, testing, and deployment. 7+ years of experience developing machine learning models, performing large-scale data analysis, and/or data engineering experience.
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Building streaming data pipelines using Kafka, Spark, or Flink. You will be expected to lead recommendation and personalization algorithm research, development, implementation, and optimization for product areas, and to coordinate requirements and manage stakeholder expectations with Product, Engineering, and Editorial teams.
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Hands-on experience working with Databricks environment for data processing and analysis. Hands on experience working on data science frameworks such as TensorFlow, PyTorch, and Spark ML.
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As the Lead Data Engineer, you will lead the design and development of robust and scalable data pipelines on a modern data platform. Data Pipeline Design and Development: Lead the design, implementation, and maintenance of data pipelines to support data ingestion, transformation, and storage on GCP and Snowflake.
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Familiar with basic isolated and non-isolated circuit topologies & control techniques Familiar with simulation tools (e.g., SPICE, LTSpice, SABER), MathCad, MATLAB, Simulink Hands-on prototyping and debug experience testing complex power systems, including various switch-mode topologies and linear regulators Power Supply circuit design experience, including schematic capture through test and integration Hands-on power supply or power systems design and development exposure.
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Hands-on experience with IMS network components such as Call Session Control Functions (CSCF) (Preferred to have Media Gateway Control Functions (MGCF), and Home Subscriber Servers (HSS.
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You will be a tech lead for the dev engineering team that will design, develop and implement enterprise data integration solutions with opportunities to grow in responsibility, work on exciting and challenging projects, train on new technologies and lead other Developers to set the future of the Data Warehouse.
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hands on lead engineer data jobs Title: engineer Company: Wells Fargo in Morgan-city, Louisiana
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