Software Engineer, Data
Remote - United States
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.
We are hiring Software Engineers to join a team driving software and data engineering for a critical initiative for a premier banking client. This is an exciting opportunity to work hands-on with cloud-native technologies and modern architecture.
Required Qualifications:
- 5+ years of experience in application development (Python, Java)
- 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) - AWS Preferred
- 4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Gurobi)
- 4+ years of experience working on real-time data streaming and batch processing (Spark, Kafka, Kineses)
- 2 + years of experience working with orchestrator tools (Airflow, Dragster)
Nice to have:
- 4+ years of experience with UNIX/Linux, including basic commands and shell scripting
- 2+ years of experience with Agile engineering practices
- Experience working with Databricks
- Experience with AWS Glue
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 💰
Tags: Agile Airflow Architecture AWS AWS Glue Azure Banking Databricks Engineering FinTech GCP Google Cloud Hadoop Java Kafka Linux Python Shell scripting Spark Streaming
Perks/benefits: Startup environment
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