Sr. Data Engineer

Key Skills

Apache Hadoop, Azure, Containerization, ETL frameworks, Kubernetes-K8s, PowerBI, Snowflake, SQL

Job Description

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.

As a Sr. Data Engineer you will play a pivotal role in architecting, designing, and developing state-of-the-art data warehouse solutions for our enterprise. Your extensive leadership experience in data warehouse development, coupled with your strong management and interpersonal skills, will be instrumental in developing our team's intellectual capital and ensuring the success of our data initiatives.

Key Responsibilities:

• Architect, develop, test, and implement OLAP and OLTP Database systems, BI Applications, ETL Frameworks, and Master Data Management (MDM) solutions.
• Utilize Scrum methodology to support various business applications in the enterprise.
• Lead and mentor technical teams to deliver high-quality solutions.
• Design and develop multi-terabyte data warehouse systems for various business domains.
• Architect and execute data migration projects in Azure Cloud.
• Design and develop multi-environment BI applications hosted in both Cloud and On-Premise environments.
• Architect and design MDM solutions to enhance data quality and consistency.
• Ensure the adoption of best-in-class SDLC processes for highly available, scalable, and maintainable data warehouse platforms.
• Stay up-to-date with industry trends and emerging technologies to drive innovation.

Qualifications:

• Extensive leadership experience in data warehouse development lifecycle, including architecture, development, testing, and implementation.
• Proven expertise in Azure Cloud architecture and data warehousing.
• Strong proficiency in SQL, ETL tools, and BI applications.
• Certification in AZ-303: MS Azure Architect Technologies and DP-203: Data Engineering on MS Azure is a plus.
• Familiarity with Apache Spark, Containers, Kubernetes, and Snowflake is advantageous.
• Excellent problem-solving and communication skills.
• Bachelor's degree in Computer Science, Information Technology, or related field (Master's degree preferred).
• Relevant certifications in data management and cloud technologies are a plus.

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!