Data Engineer

Remote - United States

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Kunai

Kunai accelerates innovation for the world's leading financial institutions.

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Kunai is a fast-growing digital consultancy focused on banking, payments, and fintech powered by a global network that attracts the best and brightest people from all backgrounds and cultures, driven by innovation and experimentation, spread across almost every single continent. Over the past decade, we've shipped over 150 products for clients that include Visa, American Express, Capital One, WEX, Wells Fargo, Ernst & Young, and TOMS Shoes. Our founders built a previous agency (Monsoon) that was acquired by Capital One in 2015.

The Role: 

Kunai is partnering with a premier banking client to hire a Data Engineer. The Data Engineer will partner with software engineers to aggregate disparate data sources to develop an actionable dashboard to be leveraged by business leaders. 

Requirements: 

  • Bachelor's Degree in Computer Science or related field. 
  • 5+ years of experience in application development including Python, SQL, Scala, or Java.
  • 2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud).
  • 3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi).
  • 2+ year experience working on real-time data and streaming applications.
  • 2+ years of experience with NoSQL implementation (Mongo, Cassandra).
  • 2+ years of data warehousing experience (Redshift or Snowflake).
  • 3+ years of experience with UNIX/Linux including basic commands and shell scripting.
  • 2+ years of experience with Agile engineering practice.
  • Experience with BI tools like Tableau or quicksight for creating reports will be an added advantage.  

At Kunai, we have built deep relationships with our clients. Our bar is high, and our mission is to always exceed our client’s expectations. If you are fanatical about customer success and driven to work on and solve tough technical challenges, we would love to chat with you!

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Agile AWS Azure Banking Cassandra Computer Science Data Warehousing Engineering FinTech GCP Google Cloud Hadoop Java Kafka Linux NoSQL Python QuickSight Redshift Scala Shell scripting Snowflake Spark SQL Streaming Tableau

Perks/benefits: Startup environment

Regions: Remote/Anywhere North America
Country: United States

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