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Job Overview
Location
Remote - India
Job Type
Full-time
Category
Data Science
Date Posted
June 22, 2026
Full Job Description
đź“‹ Description
- • Design, build, and maintain scalable analytical pipelines and reporting solutions using BigQuery and MariaDB.
- • Write sophisticated, high-performance SQL queries leveraging joins, window functions, and CTEs to extract actionable insights from large-scale datasets.
- • Architect and develop internal tooling and automation systems using Python and FastAPI to enable data-driven decision-making across the business.
- • Integrate and leverage AI-powered development tools such as Windsurf, Gemini, Claude, and Cursor to accelerate workflow efficiency and enhance analytical output.
- • Apply AI/ML capabilities including LLMs, generative AI, and embeddings to augment analytics workflows and deliver smarter, automated insights.
- • Document and map data architecture, lineage, and flow across source systems, warehouses, and downstream consumers to ensure transparency and maintainability.
- • Collaborate with cross-functional stakeholders to translate complex data findings into clear, actionable business recommendations for both technical and non-technical audiences.
- • Proactively identify opportunities for operational improvements, deeper analysis, and enhanced data tooling to drive business value.
- • Own end-to-end delivery of analytics initiatives—from defining key questions and designing data infrastructure to delivering final insights and driving adoption.
- • Build data-facing web applications and internal dashboards using JavaScript to enable self-service analytics and real-time monitoring.
- • Ensure all data systems are robust, repeatable, and scalable, avoiding one-off analyses in favor of sustainable, production-grade solutions.
- • Participate in business process analysis and design improvements grounded in data insights across departments such as Finance, Marketing, Sales, and Operations.
- • Maintain a high standard of code quality and documentation, with a focus on maintainability, testing, and version control.
- • Stay current with evolving data engineering practices, AI advancements, and industry tools to continuously improve system performance and analytical capabilities.
🎯 Requirements
- • 7+ years of professional experience in data analytics engineering, data engineering, or a related field
- • Expert-level SQL proficiency with hands-on experience in BigQuery and MariaDB
- • Strong Python skills for building pipelines, APIs, and automation tools; JavaScript experience for data-facing applications
- • Deep understanding of data architecture, schema design, and data flow across systems
- • Hands-on experience with AI/ML technologies including LLMs, generative AI, and embeddings
- • Proficiency with AI-powered development tools such as Windsurf, Gemini, Claude, or Cursor
- • Self-sufficient and self-managing with a proven ability to own projects end-to-end
- • Public GitHub profile showcasing personal projects, contributions, or technical experiments
🏖️ Benefits
- • 25 days paid annual leave plus public holidays
- • Competitive compensation package tailored to local India market standards
- • High degree of flexibility and freedom in work structure
- • Opportunity to collaborate with high-caliber global teams and accelerate professional growth
- • Impactful work supporting 75% of Fortune 500 companies and billions of end-users
- • No sponsorship or relocation support provided
Skills & Technologies
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About MariaDB plc
MariaDB plc is the Ireland-based public company that develops and supports the open-source MariaDB database management system and related enterprise products. Formed from the original MySQL fork, it offers scalable relational, analytical and hybrid transactional/analytical processing solutions under both open-source and commercial licenses. The company provides cloud services, support, training and consultancy to organizations worldwide, focusing on performance, security and operational efficiency for modern applications.
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