3 hours ago
Responsibilities
- Build production software and data systems beyond traditional ETL pipelines.
- Develop backend applications with a strong focus on Python.
- Perform enterprise-scale data migration, movement, and transformation in cloud environments.
- Analyze large datasets using Databricks and Snowflake.
- Implement distributed batch and stream processing using tools such as Apache Spark, Kafka, and AWS Kinesis.
- Design workflow orchestration with Apache Airflow or similar tools.
- Architect real-time, event-driven data streams using Kafka and OneStream.
- Develop and optimize large-scale cloud data warehouses and data models in Snowflake and OneLake.
- Implement data quality controls and support compliance governance.
- Collaborate with client teams in a consulting-oriented environment.
Requirements
- At least 5 years of application development experience with strong Python programming skills.
- At least 4 years of hands-on experience with AWS cloud services.
- At least 4 years of experience with relational databases, including PostgreSQL, and complex SQL queries.
- Experience with cloud-based data migration, enterprise-scale data movement, and transformation.
- Experience with Databricks and Snowflake for analyzing large datasets.
- Familiarity with distributed data processing and batch or stream processing tools such as Apache Spark, Kafka, or AWS Kinesis.
- Experience with workflow orchestration tools such as Apache Airflow.
- Familiarity with enterprise ETL pipelines, data quality controls, and compliance governance.
- Experience architecting real-time event-driven data streams using Kafka or OneStream.
- Familiarity with cloud data warehousing, performance optimization, and data modeling in Snowflake and OneLake.
- A bachelor’s degree is required, with an alternative of three years of specialized training or progressively responsible technology experience for each missing year of college, in addition to the required experience.
- Java development experience is preferred.
- Experience with AWS Glue or other AWS data integration services is preferred.
- Proficiency with UNIX/Linux environments and basic shell scripting is preferred.
- Experience with Agile teams, Agile engineering practices, consulting, or client-facing collaboration is preferred.
Benefits
- Competitive compensation is offered.
- Professional development opportunities are available.
- Flexible work arrangements are offered.
- The company provides a collaborative, creative, and continuous-learning environment.
Tech Stack
Categories
BackendData Engineering
About Kunai
Kunai is a digital product development and engineering consultancy focused on financial services, building full-stack systems for banks, payment networks, and fintechs. Its teams deliver product development, AI and automation, cloud, and data engineering, partnering from MVP through rollout. Founded in 2015 and headquartered in San Ramon, California, Kunai was acquired by PwC and operates within the PwC network serving large U.S. banks and global card networks.