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Including hands on experience with productionized data ingestion and processing pipelines using Python, Data bricks, Snow SQL Excellent understanding of Snowflake Internals and integration of Snowflake with other data processing and reporting technologies Excellent presentation and communication skills, both written and verbal, ability to problem solve and design in an environment with unclear requirements.
Part-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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Solid understanding of real time data processing with Kafka, Spark, and Flink and batch data processing frameworks on EMR and Snowflake. Sr Data Engineer (only on W2.
Full-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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Hands on experience in data engineering desired with extensive knowledge of SQL and PySpark, on Databricks Platform. Ability to design cloud and on Prem data solutions and provide guidance across storage, big data platform services, Hadoop ecosystem, vendor SaaS integrations, RDBMS and NoSQL databases is a plus.
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We are looking for someone passionate about data and is focused on developing the platform for critical data products - including real time business metrics and analytics capabilities.
Full-timeExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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Hands-on experience using modern big data pipelines (AWS, Google Cloud, Snowflake) AI/ML models, Natural language process (NLP) and data mining experience. Apply advanced machine learning, graph analytics, data mining, statistical methods, algorithms, and time series models to vast amounts of user data to derive insights based on the knowledge graph (ontology.
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Whether you’re interested in building a crypto strategy, identifying risk, or discovering valuable market intelligence, our platform provides the most complete data set and sophisticated attribution capabilities on the market, resulting in the actionable insights companies need to grow and prosper safely in a web3 world.
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To succeed in this role, you must demonstrate a desire to improve on existing techniques and processes and have a passion for working with data. Snacks, cold brew on tap & weekly catered lunches.
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Hands-on experience working with modern cloud data lake house technologies e.g. Databricks (preferred) or Snowflake. We are on an exciting journey modernizing our data technologies and ways-of-working to make use of best in-class technologies and truly agile practices.
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Ability to design cloud and on premise data solutions and provide guidance across storage, big data platform services, Big Data ecosystem, vendor SaaS integrations, RDBMS and NoSQL databases is a plus.
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5+ years of hands-on experience in implementing data lake systems using AWS/Azure cloud technologies such as S3, Databricks, Hive, Spark & Scala, Python etc. Hands-on experience in developing scalable data pipeline using technologies like Kafka, Databricks, Spark and Scala applying ETL and ELT concepts.
Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Develop your professional skills through one-on-one mentoring from a Data Science Lead assigned to you over the summer. You will use data and analysis to solve product challenges that will have an impact on millions of transactions per day.
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The Disney Direct-To-Consumer (DTC) Sports Analytics team is looking for a Data Analyst who will help to measure, understand, and take action on key rights deals and audience behavior that impacts the sports portfolio of The Walt Disney Company.
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Expertise in designing and deploying data applications on cloud solutions, such as Azure or AWS. Located in the heart of midtown Manhattan, you can enjoy lunch downstairs listening to the summer band series or around the corner in Bryant Park. After work, you can hop on a CitiBike to ride to the Hudson River Park, take a stroll to a show on Broadway or attend an event at Madison Square Garden.
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3+ years hands-on experience with high-velocity high-volume stream processing: Apache Kafka and Spark Streaming (A. Experience with real-time data processing and streaming techniques using Spark structured streaming and Kafka B. Deep knowledge of troubleshooting and tuning Spark applications.
ExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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5+ years of experience in data engineering, with a strong focus on AWS, Redshift, and Snowflake. Hands-on experience with dbt for data modeling and transformations. Build and manage data warehouses using AWS, Redshift, and Snowflake.
ExpandApply NowActive JobUpdated 8 days ago
on job Title: data in New York, NY
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