Senior Data Analytics Engineer
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Analytics Engineer based in India.
This role sits at the intersection of data engineering, analytics, and product-driven insights, focused on building the foundations that power large-scale decision-making.
You will design and develop end-to-end data systems that transform raw information into reliable, actionable insights for business stakeholders.
The position goes beyond reporting, requiring ownership of data pipelines, architecture, and internal tooling that enable scalable analytics.
You will work in a high-impact environment where engineering rigor and analytical thinking come together to solve complex data challenges.
The role involves close collaboration with cross-functional teams, translating business needs into robust technical solutions.
You will leverage modern data stacks and AI-assisted development tools to accelerate delivery and improve analytical depth.
This is a highly technical, hands-on role where your work directly shapes how data is used across the organization.
Accountabilities:
- Design, build, and maintain scalable data pipelines and analytics infrastructure using BigQuery and MariaDB.
- Write advanced SQL queries to extract, transform, and analyze large-scale datasets for business insights.
- Develop internal tools, APIs, and automation workflows using Python and modern frameworks such as FastAPI.
- Build and optimize data models, ensuring clean architecture, maintainable schemas, and efficient data flow across systems.
- Collaborate with stakeholders to translate business requirements into technical solutions and actionable analytics.
- Implement and enhance data quality, monitoring, and reliability frameworks across pipelines and systems.
- Leverage AI-powered development tools (e.g., Claude, Gemini, Windsurf) to improve productivity and solution quality.
- Contribute to documentation of data architecture, lineage, and system dependencies for transparency and scalability.
- Identify opportunities for process improvement, automation, and advanced analytical capabilities.
- 7+ years of experience in data engineering, analytics engineering, or a related technical data role.
- Expert-level SQL skills with hands-on experience in BigQuery and MariaDB.
- Strong proficiency in Python (or JavaScript) for building data pipelines, APIs, and automation systems.
- Experience with modern backend frameworks such as FastAPI or similar tools.
- Deep understanding of data architecture, including schema design, data modeling, and pipeline orchestration.
- Hands-on experience with AI/ML concepts, including LLMs, embeddings, or generative AI applications.
- Familiarity with AI-assisted development tools such as Cursor, Windsurf, Gemini, Claude, or similar platforms.
- Strong problem-solving and analytical thinking with ability to work independently end-to-end.
- Excellent communication skills with the ability to explain complex data concepts to non-technical stakeholders.
- Proven ability to manage multiple priorities in a fast-paced, self-directed environment.
- A public GitHub profile demonstrating real-world projects, experimentation, or engineering contributions.
- Competitive compensation aligned with experience and industry standards
- Opportunity to build high-impact data systems at scale
- Exposure to modern data stack technologies and AI-assisted engineering workflows
- Flexible and collaborative work environment with strong ownership culture
- Strong learning and growth opportunities across data engineering and AI domains
- Autonomy to design and own end-to-end data solutions
- Inclusive, innovation-driven environment focused on continuous improvement.