3 months ago
Remote, MexicoSenior
Responsibilities
- Design, develop, and optimize data pipelines and ETL workflows using SQL, Snowflake, dbt, and Python.
- Collaborate with data analysts, data scientists, and business stakeholders to translate requirements into scalable data models.
- Learn and work with existing and new data models to maintain and enhance data infrastructure.
- Ensure data quality, consistency, and reliability across pipelines and data stores.
- Monitor, troubleshoot, and improve data pipeline and query workload performance.
Requirements
- Extensive experience with SQL and modern data warehousing solutions, preferably Snowflake.
- Hands-on experience with dbt for data transformation and modeling.
- Strong Python programming skills for data engineering tasks.
- Proven experience designing and managing ETL processes and scalable data pipelines.
- Ability to quickly understand and work with complex data models.
- Strong analytical, problem-solving, and communication skills.
- Bachelor’s degree, or qualifying specialized training and progressively responsible technology work experience in lieu of the degree.
Benefits
- Competitive compensation.
- Professional development opportunities.
- Flexible work arrangements.
- Collaborative culture with opportunities for continuous learning and professional growth.
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.