
51 - 200 employees
Founded 2001
đź’Ľ Consulting
📦 Logistics
📣 Marketing
Consulting • Logistics • Marketing
Kunai is a company focused on accelerating innovation in the financial sector by providing expert services in product development, AI and automation, cloud engineering, and data engineering. Founded by experienced professionals from leading banking and fintech institutions, Kunai aims to transform new ideas into market-ready financial products, enhance operational efficiency through AI, and help clients navigate complex cloud environments, ultimately leading to improved decision-making and customer experiences in finance.
🔥 0 minutes ago
🇺🇸 United States – Remote
⏰ Full Time
🟡 Mid-level
đźź Senior
đźš° Data Engineer
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51 - 200 employees
Founded 2001
đź’Ľ Consulting
📦 Logistics
📣 Marketing
Consulting • Logistics • Marketing
Kunai is a company focused on accelerating innovation in the financial sector by providing expert services in product development, AI and automation, cloud engineering, and data engineering. Founded by experienced professionals from leading banking and fintech institutions, Kunai aims to transform new ideas into market-ready financial products, enhance operational efficiency through AI, and help clients navigate complex cloud environments, ultimately leading to improved decision-making and customer experiences in finance.
• Build production software and data systems beyond traditional ETL pipelines • Drive software and data engineering for a critical initiative for a premier banking client • Work hands-on with cloud-native technologies and modern architecture • Develop back-end systems with a data focus • Perform enterprise-scale data movement and transformation during data migration activities • Analyze large datasets using cloud data platforms • Architect real-time, event-driven data streams • Work with large-scale cloud data warehousing, performance optimization, and data modeling
• 5+ years of experience in application development with strong Python programming skills • 4+ years of hands-on experience with AWS cloud services • 4+ years working with relational databases, including PostgreSQL, and writing complex SQL queries • Experience with data migration activities in cloud environments, focusing on enterprise-scale data movement and transformation • Experience working with cloud data platforms such as Databricks and Snowflake to analyze large datasets • Familiarity with distributed data processing and batch/stream processing tools such as Apache Spark, Kafka, or AWS Kinesis • Experience with workflow orchestration tools like Apache Airflow or similar • Familiarity with enterprise ETL pipelines, Data Quality controls, and compliance Governance • Practical experience architecting real-time, event-driven data streams using Kafka/OneStream • Familiarity with large-scale cloud data warehousing, performance optimization, and modeling within Snowflake and OneLake • Bachelor's Degree; in lieu of a degree, three years of specialized training and/or progressively responsible work experience in technology for each missing year of college, in addition to the minimum years of experience required for the role • Nice to have: Java development experience • Nice to have: Experience with AWS Glue or other AWS data integration services • Nice to have: Proficiency with UNIX/Linux environments, including basic shell scripting • Nice to have: Experience working in Agile teams and knowledge of Agile engineering practices • Nice to have: Prior consulting experience or aptitude for client-facing collaborative environments
• Competitive compensation • Professional development opportunities • Flexible work arrangements • Tools to grow personally and professionally
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