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We are looking for a Data Scientist to join our Risk Data Science and Analytics Team. You will improve our risk controls through advanced statistical and analytical techniques. The Risk Data Scientist will identify and prevent fraud on our most valuable sellers.
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Our modern Data Technology Stack consists primarily of Airflow, dbt, Postgresql, Superset, BigQuery, Python and SQL. Bonus – Data Warehousing: Snowflake, BigQuery. Data Analytics: Airflow, DBT.
$100,000 - $130,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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DE performing data warehousing tasks using Snowflake data lake concepts on Oracle, PostgreSQL, and MS SQL server platforms using data engineering concepts. DE designing, developing, testing, and implementing Amazon Web Services (AWS), Radio Data System (RDS), and Aurora PostgreSQL Operational Real-time Data Storer; and gathering data from source systems using Apache Kafka, Apache Kafka Connectors, and Kafka streaming.
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Implement Ingestion of new batch and streaming data pipelines using Scala, Databricks, and Airflow. Hands-on production experience with data pipeline orchestration systems such as Airflow for creating and maintaining data pipelines.
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Experience with at least one Data Integration tool on the level of Dell Boomi, DataStage, or Informatica. The University IT Services (UITS) Enterprise Data and Analytics (EDA) team is responsible for developing and managing shared services in the area of data and analytics for the entire UMass university system.
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Deliver datasets from onboarding through mapping and automated DQ so they can be handed off to the Data Operations team for DQ maintenance and consumed by research teams and production. The Asset Management Quant Research Engineering team is looking for a Senior Data Engineering who wishes to take on the challenge of building a world-class data operation.
Full-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Utilize programming languages like SQL, Python and tools like databricks, iceberg, presto, graphql and Cloud based data technologies. The Senior Lead Data will be responsible for partnering with Technology, Machine Learning, Product Architecture, and other Capital One teams to support the development of the Finance Tech Data Strategy into products and services we create and consume.
$9 - $11Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Experience in Building Data Governance Solutions like Unity Catalog, Azure Purview etc. Hands on Experience in Azure Synapse Analytics, Azure Data Factory and Data Bricks, Azure Storage, Azure Key Vault, SQL Pools CI/CD Pipeline Designing and other Azure services like functions, logic apps.
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Experience in building and designing solutions for data warehouse and experience in working with large data sets in Oracle and Snowflake. 10+ years of data engineering experience, at peer firms utilizing agile methods and modern SDLC processes to deliver quality technological solutions in a transparent, reliable way.
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We are seeking a Data Science Associate to join the Fidelity Digital Asset Management business and report directly to the VP, Data Science. Proficiency in complex data extraction or processing using Python, SQL, Snowflake.
$85,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Demonstrated Expertise (“DE”) designing, developing, testing, and implementing enterprise analytics platforms into Snowflake using Control-M jobs, Apachi Nifi, Apache Kafka, JavaScript, SnowScript, and Snowflake Tasks; and deploying data migration conversion scripts using GIT, Bit Bucket, and Jenkins Core pipelines.
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Experience with modern columnar data warehouses such as Snowflake, Redshift, BigQuery. Driving Results: Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Python and/or Node.js, SQL (using dbt for transformation), commercial SaaS and OSS offerings, and AWS ‘big data’ technologies.
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Help implement data governance policies wherever the data is accessed (Databricks, Snowflake, Spotfire). Azure Data Factory, Databricks (PySpark) and Snowflake preferred. Familiarity with both batch and streaming data operations.
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Oversight of LLM and MLS reporting and extracting data from external sources through Slate, sharing data with internal departments through internal data sharing procedures. Provide data analysis and update the data model for incoming LLM and MLS prospective law students.
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You have 8+ years of industry experience and proficiency in building distributed data pipelines for both batch and real-time (experience with Databricks, Spark, Hive, Iceberg, Kafka, Snowflake is helpful, but not strictly required.
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data job Title: admin assistant Company: Focusgroupjobs in Boston, MA
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