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Position Details: Client: Capital One Role: Data Engineer 100% Remote Project Details Part of risk management technology group and working around anti-money laundering space o Working on technologies to not only detect but also predict financial crime - Working to have data more real-time so that they can detect fraud and similar issues quicker - Working on business side to build capabilities to help Cap1 be on the forefront of technology and customer-service and you won’t get a chance to work on in many companies - Working on Amazon EMR Elastic and batch-processing - Modernizing to make components more well-rounded and reusable Selling Points for Candidates: True cutting-edge financial technology projects What are the top must-have technologies/required experience for the position? 1. Python OR ( preferred) 2. Apache Spark 3. AWS a. Required: S3 buckets and snowflake, basic RD b. EMR, Glue, etc. 4. CI/CD knowledge (Jenkins) Preferred qualifications: 1. Map Reduce a. Some JAVA knowledge 2. REST API experience a. Build for integration Required Skills 1. Python OR ( preferred) 2. Apache Spark 3. AWS a. Required: S3 buckets and snowflake, basic RD b. EMR, Glue, etc. 4. CI/CD knowledge (Jenkins) Basic Qualification Additional Skills Background Check: Yes Notes: One video interview to hire Upon offer, it is required to show consultants W2 take home pay in the Exh A. Vendor must disclose candidate's W2 hourly $$$ in the comments section when submitting in iLabor.
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- English
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