Senior Data Engineer

Kunai builds full-stack technology solutions for banks, credit and payment networks, infrastructure providers, and their customers. Together, we are changing the world’s relationship with financial services. At Kunai , we help our clients modernize, capitalize on emerging trends, and evolve their business for the coming decades by remaining tech-agnostic and human-centered. We are seeking a Senior Data Engineer with deep Python and DynamoDB expertise to join a high-impact data engineering program supporting the modernization and scaling of financial services platforms. In this hands-on role, you will build and optimize data pipelines and systems that ingest, process, and analyze vast volumes of transactional and operational data, enabling real-time insights and driving data-driven decision-making at scale. Experience with Spark is a strong plus but not required. WHAT YOU'LL DO As a core member of the data engineering team, your responsibilities may include: Data Pipeline Development & Optimization Design, build, and maintain scalable, reliable, and high-performance data pipelines using Python and AWS DynamoDB. Implement robust ETL/ELT processes for both batch and streaming data workloads. Collaborate with data scientists, analysts, and backend engineers to ensure data accessibility and integrity. Data Architecture & Storage Develop and optimize DynamoDB data models and indexing strategies to meet diverse access patterns and high throughput requirements. Leverage cloud-native data storage solutions and serverless architecture to drive cost-efficient and scalable systems. Big Data & Analytics Contribute to the implementation and tuning of distributed data processing frameworks such as Apache Spark to support large-scale data transformations and analytics, where applicable. Monitor and optimize pipeline performance, scalability, and latency. Data Quality & Governance Establish data validation, monitoring, and alerting mechanisms to ensure pipeline reliability and accur