| Enterprise Data Engineering with Python, Spark, PySpark at Enterprise, Utah, USA |
| Email: [email protected] |
| From: john, Vaaridatech [email protected] Reply to: [email protected] Role:- Enterprise Data Engineering with Python, Spark, PySpark Location:- MCLAIN OR DALLAS NO H1B , OPT ,CPT ONLY 12+ EXP HYBRID ROLES ck Rank: Capital One Former, TEK/TGS Former, Consultant 1) 6+ years of Enterprise Data Engineering with Python, Spark, PySpark 2) 4+ years of AWS (EMR, Lambda, S3 etc) 3) Step Function Automation experience Glider: 22 question assessment on Python, Spark, PySpark, adn AWS - https://hire.glider.ai/assess/96118418 Nice To Have: + Data Migration Experience + RDB + Big Data Secondary Skills - Nice to Haves snowflake big data Job Description - Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies - Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems - Utilize programming languages like Java, Python, Spark, and Open Source RDBMS and Cloud based data warehousing services such as Snowflake Additional Skills & Qualifications The Card Tech Data Products Team at Capital One is migrating into One Stream, the system for getting data across the enterprise at Capital One. We are competing to building 2 teams at Capital One. Team 1: Core Data Engineering - Own the migration from OneLake to OnePipeline Team 2: Full Stack Data Engineering with automation - Own all other data migration work or tasks that are not directly related to the migration Employee Value Proposition (EVP) Capital One is a Fortune 100 company leading financial services and technology. Theyre constantly pushing the ability to work on enterprise scale platforms and cutting edge technology. At Capital One, their mission is to change banking for good by bringing humanity, ingenuity and simplicity to banking. It is on the list of largest banks in the United States and has developed a reputation for being a technology-focused bank. The company's three divisions are credit cards, consumer banking and commercial banking. The bank has 755 branches including 30 caf style locations and 2,000 ATMs Keywords: artificial intelligence sthree information technology Enterprise Data Engineering with Python, Spark, PySpark [email protected] |
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| Mon Jul 29 23:35:00 UTC 2024 |