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MariaDB

Open-source HTAP database with real-time analytics

Senior Analytics AI Platform Engineer

Data ScienceConfirmed live in the last 24 hours
Full-timeRemote in IndiaNo salary listed

About the Job

Requirements

  • At least 7 years of professional experience in data science, advanced analytics, or a quantitative field.
  • Expert-level SQL proficiency, including BigQuery and MariaDB or similar data platforms, query optimization, partitioning, and data modeling.
  • Strong Python and/or JavaScript skills, including production-quality code and experience with modern data and machine-learning libraries.
  • Deep understanding of regression, clustering, time series, A/B testing, and classification, including knowing when and why to apply each method.
  • Understanding of data architecture, including the design of warehouses, lakes, and pipelines and structuring data for analytical and machine-learning workloads.
  • Proficiency with AI-powered development tools such as Windsurf, Gemini, Claude, Cursor, or similar tools.
  • Ability to present complex technical work in a way that drives decisions.
  • Ability to set priorities, unblock work independently, and deliver without close supervision.
  • A public GitHub profile showcasing projects, experiments, or contributions.

Responsibilities

  • Apply appropriate analytical methods, including statistical analysis, regression, clustering, forecasting, and classification, to solve business problems at scale.
  • Design and build end-to-end analytical solutions, from data extraction in BigQuery and MariaDB to actionable insights and automated reporting.
  • Develop and maintain data pipelines, analytical frameworks, and tooling using Python and SQL.
  • Use AI-powered development tools such as Windsurf, Gemini, Claude, and Cursor to accelerate experimentation, code generation, and analysis.
  • Use large language models, embeddings, and generative AI to augment and automate analytical workflows.
  • Build lightweight applications and APIs using FastAPI to deliver models and insights to stakeholders.
  • Own data architecture decisions within the role's domain, including schema design, data modeling, and pipeline reliability.
  • Communicate results, trade-offs, and recommendations to technical and business audiences.
  • Map and improve business processes through data-driven analysis and process design.

Desired Qualifications

  • Experience with Next.js or modern frontend frameworks for building data-facing applications.
  • FastAPI experience for serving models or internal tooling.
  • Background in business process analysis or operational process design.
  • Experience working across business departments such as Finance, Marketing, Sales, Operations, and Engineering.
  • Experience with JSON-based data formats, APIs, and integration patterns.
  • Understanding of Docker and Kubernetes, including containerization and cluster orchestration.

About the Company

MariaDB

Open-source HTAP database with real-time analytics

MariaDB provides open-source database solutions designed for hybrid transactional and analytical processing (HTAP) to power real-time data interactions for modern applications. It serves a range of users from consumer web/mobile apps to back-office systems, offering both free and enterprise-grade software with revenue from subscriptions, support services, and consulting. The platform enables real-time querying and analytics on live data, allowing developers and data scientists to mine information and improve user experiences. Unlike many competitors, MariaDB emphasizes an open-source model with enterprise options, balancing community-driven development with professional support and consulting. Its goal is to offer a scalable, customizable database platform that seamlessly handles both transactional and analytical workloads, delivering timely insights and reliable data management for diverse applications.

Company size
201-500
Company stage
IPO
Headquarters
Redwood City, CA
Founded
2014

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