Senior Data Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇲🇽 Mexico – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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, develop, and optimize data pipelines and ETL workflows using SQL, Snowflake, dbt, and Python • Collaborate with data analysts, data scientists, and business stakeholders to understand requirements and translate them into scalable data models • Rapidly learn and familiarize yourself 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 performance of data pipelines and query workloads

🎯 Requirements

• Extensive experience with SQL and modern data warehousing solutions, preferably Snowflake • Hands-on experience with dbt for data transformation and modeling • Strong programming skills in Python for data engineering tasks • Proven track record 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 required; 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, is required

🏖️ Benefits

• Competitive compensation • Professional development opportunities • Flexible work arrangements • Culture of collaboration, creativity, and continuous learning • Tools to grow personally and professionally