Senior Data Engineer

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🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Kunai

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2001

💼 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.

📋 Description

• Design, build, and maintain scalable, reliable, high-performance data pipelines using Python and AWS DynamoDB • Implement robust ETL/ELT processes for batch and streaming data workloads • Collaborate with data scientists, analysts, and backend engineers to ensure data accessibility and integrity • Develop and optimize DynamoDB data models and indexing strategies for diverse access patterns and high throughput • Leverage cloud-native data storage solutions and serverless architecture for scalable, cost-efficient systems • Contribute to distributed data processing frameworks such as Apache Spark for large-scale transformations and analytics • Monitor and optimize pipeline performance, scalability, and latency • Establish data validation, monitoring, and alerting mechanisms for pipeline reliability and accuracy • Collaborate on data governance, compliance, and security best practices • Participate in architectural discussions and code reviews • Mentor junior team members and promote knowledge sharing

🎯 Requirements

• 5+ years of professional experience in data engineering or software engineering focused on data-centric solutions • Expert Python programming skills focused on data processing and pipeline development • Deep AWS DynamoDB experience, including data modeling, performance tuning, and capacity planning • Thorough understanding of cloud computing fundamentals; AWS preferred • Experience building high-scale ETL/ELT pipelines with streaming and batch data • Familiarity with distributed data processing frameworks • Experience with NoSQL databases such as DynamoDB, Cassandra, or similar • Comfort with schema design trade-offs and query pattern optimization in key-value and document stores • Experience collaborating in cross-functional teams involving product, data science, and operations • Strong verbal and written communication skills • Ability to thrive in fast-paced, evolving environments with changing requirements • Bachelor’s Degree required, or three years of specialized training and/or progressively responsible technology work experience for each missing year of college in addition to the required experience • Unable to provide sponsorship for this role

🏖️ Benefits

• Competitive compensation • Professional development opportunities • Flexible work arrangements • Collaborative, creative, and continuous-learning culture • Tools and support for personal and professional growth