Senior Data Analytics Engineer

Job not on LinkedIn

🕒 April 1

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Logo of MariaDB

MariaDB

201 - 500 employees

Founded 2009

🏢 Enterprise

Enterprise • Open Source • Database

MariaDB is a company that develops and provides an open-source cloud-native relational database solution. Known for its MariaDB Server and MariaDB Enterprise offerings, it delivers high availability, auto-failover capabilities, and supports both transactional and analytical workloads. MariaDB is favored for its flexibility, cost-effectiveness compared to proprietary databases, and support for various data models, including relational and JSON. It is widely used in Linux distributions as a replacement for MySQL and is popular among developers for its open-source innovation and ease of use.

📋 Description

• Design, build, and maintain analytical pipelines and reporting solutions on BigQuery and MariaDB • Write sophisticated, performant SQL to extract insights from large-scale datasets • Leverage AI and machine learning features to augment analytics workflows • Use AI-powered development tools to accelerate your workflow • Develop internal tooling and automation using Python, FastAPI, and modern frameworks • Communicate findings clearly to stakeholders • Understand and document data architecture • Collaborate on business process analysis • Proactively identify opportunities for improvements

🎯 Requirements

• 7+ years of professional experience in data analytics engineering, data engineering, or a related field • Expert-level SQL; BigQuery and MariaDB experience strongly preferred • Strong Python and/or JavaScript skills • js experience for building data-facing applications • Deep understanding of data architecture • Hands-on experience with AI/ML • Proficiency with AI-powered development tools • Excellent communication skills • Self-sufficient and self-managing • Ambitious with a public GitHub profile

🏖️ Benefits

• 25 days paid annual leave (plus holidays) • Competitive compensation package • Flexibility and freedom in work environment

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