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The ideal candidate will have a strong background in financial investigation, cyber security, and intelligence analysis, with a deep understanding of blockchain technology and the cryptocurrency market.
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Must be proficient in SQL and understand different data modeling techniques using Big Data frameworks such as Presto/Snowflake/Databricks. The FreeWheel Data Processing and Data Warehouse team is responsible for creating and managing the frameworks for large scale ETL using modern frameworks such as DBT and Spark.
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Experience in Data science, machine learning, or optimization models Experience in Python, Spark, Scala, or R, using open source frameworks (for example: scikit learn, TensorFlow, Pytorch) You are knowledgeable of databases, data warehouse design, cloud storage, and ETL best practices.
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Education: Strong academic record and a BA/BS degree An individual who loves solving deep and complex business problems regarding acquisition and distribution of financial market data and wants to have an outsized impact with the products they deliver.
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Extensive experience working with various data technologies and tools such as Airflow, Snowflake, Meltano, Fivetran, DBT, AWS, and Looker. By establishing HackerOne's one source of truth and developing data products and solutions on this foundation, we help our Hackers, Customers, and Hackeronies gain insights and make better decisions, thereby empowering the world to build a safer internet.
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We believe that trusted, easy to consume data is critical and as a Senior Data Engineer your work will help to build that foundation. We are looking for a Senior Data Engineer to join our passionate team, adding your background and experience to make us even stronger.
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Uses coding skills to enable multiple sources to move data through Snowflake, MDM, RDS, and other cloud data environments using tools such as Spark, Striim, Kafka, Snowpipe, Azure Data factory, AWS Glue, Matillion, FiveTran and more.
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Create, maintain and monitor data flows in Spark, Hive, SQL and Presto for consistency, accuracy and lag time. Presto - fast parallel data warehouse and data federation layer. Create different consumers for data in Kafka using Spark Streaming for near time aggregation.
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Be very familiar with databases & data warehouses: Snowflake, Redshift, BigQuery, Postgres, MySQL, etc. Create beautiful dashboards and reports, and work with customers to create self-service exploration data cubes using Looker.
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Cloud: AWS or Azure or GCP in Data Engineering and Analytics streams. Familiarity in Data Engineering tools, data ops tools in On-prem and Cloud eco system. Familiarity with one of the Data Governance & Data Catalog tools.
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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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The PennSIVE Center, a group of quantitative experts specializing in imaging data science, is seeking to recruit a neuroimaging data analyst. Data Analyst C - Division of Biostatistics.
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In this role, you will work closely with the Artificial Intelligence Architect and the Senior Director of Artificial Intelligence Strategy to design, build, and optimize data pipelines and infrastructure that drive ourAI and Machine Learning (ML) capabilities.
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Designs, develops, and implements ETL/ELT processes using Azure Data Factory, Synapse pipelines, Databricks Notebooks, Event Hub to build integrations from Saas sources such as Service Now, Workday, Dynamics CRM, and Eloqua.
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We are seeking a Senior Data Engineer to join our technology team. Utilizing Python, Kotlin, Snowflake, DBT, and Kubernetes, you will play a crucial role in enhancing our data infrastructure.
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market data jobs Title: senior financial analyst Company: Leidos in Philadelphia, PA
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