Ikigai Labs is seeking a dynamic and passionate engineer with strong software fundamentals to join a high-performing data platform development team. We are looking for a team player who is a quick learner, performs in a rapid development cycle, has a drive to surpass expectations, and an eagerness to share their work and knowledge.

We encourage applicants from all backgrounds and communities. We are committed to having a team that is made up of diverse skills, experiences, and abilities.

ROLE: 

• Design and develop scalable data integration (ETL/ELT) processes  
• Improve and optimize an on-demand predictive modeling platform with Python 
• Utilize Kubernetes to orchestrate scalable deployments and manage Docker containers  
• Learn and leverage numerous AWS services to solve cloud-native problems Improve the testing platform which performs sanity check, unit tests, scale tests, heartbeat test, and performance tests 
• Work to keep the platform secure and follow industry standard compliance practices 
• Provide periodic support to our customer success team 

TECHNOLOGIES: 

• Languages: Python3, SQL, GoLang, bash 
• Databases: Postgres, Elasticsearch, DynamoDB, RDS  
• Cloud: Kubernetes, Helm, EKS, Terraform, AWS  
• Data Engineering: Apache Arrow, Dremio, Ray  
• Misc.: Apache Superset, GRPC, Jupyterhub, Airbyte 

QUALIFICATIONS: 

• 2-4 years of experience with a bachelor's/master’s degree in Computer Science or Engineering 
• Must have advanced experience with Python, AWS services, and/or ETL/ELT pipeline experiences  
• Experience with Kubernetes and/or EKS/AKS (optional)  
• Understanding fundamentals of design patterns and testing best practices 
• The ability to learn quickly in a fast-paced environment  
• Excellent organizational, time management, and communication skills  
• Willingness to discuss obstacles, find creative solutions, and take initiative  
• The ability to receive and give both constructive and encouraging feedback 
• Knowledge of streaming data processing and real-time analytics. 
• Familiarity with data governance, security, and compliance best practices