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Assist in the operations of our paid search and SEO work streams, in tandem with your paid search strategist counterpart to create a well-rounded digital skillset. Experience building dashboards within Looker and/or Google Data Studio (if not the willingness to learn with some guidance.
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ElasticSearch, Docker, InfluxDB, Redshift, CircleCI, DataDog. You have worked with customer-facing applications and know how to separate data and functionality as necessary. Keep extremely sensitive data compartmentalized and secure.
$167,500 - $205,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Model components will include data ingestion, preprocessing, search and retrieval, Retrieval Augmented Generation (RAG), NLP/LLM model development, fine-tuning and prompt engineering and ensure the solution meets all technical and business requirements.
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Hands-on Experience with most of the following open-source solutions: oOrchestrate: Airflow, Kubeflow Pipelines, ML RunoContainer: Docker, Kubernetes, Mesos + MarathonoModel Serving: Kubeflow KF Serving, TF Serving, Seldon-Core, MLflowoObservability: Prometheus, Grafana, Elasticsearch Development: oProgramming Language: Java, Scala, Python, JuliaoMiddle Ware: Kafka, MQ, Rabbit MQ etc.
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The Data Management Specialist will be responsible for managing and optimizing our organization's data infrastructure, ensuring data quality, and implementing data solutions using PySpark, DataBricks, Snowflake, and/or Redshift.
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Experience with cloud-based data platforms and services (e.g., AWS, Azure, Google Cloud) including familiarity with relevant tools and technologies (e.g., S3, Redshift, BigQuery, etc.) Proficiency in designing and implementing ETL processes and data integration workflows using tools like Apache Airflow, Informatica, or Talend.
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Easy access throughout the city with nearby train and bus stops #LI-MHA*Facility Location*From Times Square to Greenwich Village to the Upper East Side, “the city that never sleeps” is the top destination for healthcare professionals in search of non-stop action and rewarding assignments in the heart of the city.
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Partner with Senior Product Managers on the team to help define, drive and execute on a roadmap and vision deliverables for SiriusXM's streaming Entity Pages and Search experience. Ability to utilize and interpret data to drive and support product decisions.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$132,000 - $264,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. As a member of the Data Engineering Blockchain team, you own the ETL/ELT pipelines and data warehouse that are used to analyze trends and activity on the blockchain.
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You will be driven to learn about FreeWheel's Ad-Tech driven products (MRM, Beeswax, Strata, and others) and how their processes are implemented in Snowflake and other Tools such as Tableau, Looker, and You will be a subject matter expert that understands how data flows across our platforms and assist in creating cleaner and streamlined data workflows throughout the FreeWheel Enterprise.
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Develop knowledge of new analytical techniques and data sources that provide ongoing risk mitigation, and how emerging data and technology issues may impact the achievement of BSA/AML Compliance Department’s objectives.
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Comprehensive understanding of Microsoft Azure Data Platform, covering Azure Synapse, Azure Data Factory, Azure SQL Database, and legacy Microsoft SQL Server technologies such as Database Engine, SSIS, SSRS, and SSAS.
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Reporting to the Director, Employer Relations & Career Center Operations for the Stevens Career Center, the Data & Technology Specialist actively supports a student-centered career center which serves an undergraduate and graduate population pursuing degrees in engineering, the sciences, business and management, the humanities, and the fine arts.
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O Database Management System: Storing, organizing, managing, and delivering data using relational DBs, NoSQL DBs, Graph DBs, and data warehouse technologies including AWS Redshift and Snowflake.
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