Data Engineer
Modulr
2 - 5 years
Mumbai
Posted: 10/12/2025
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Job Description
Summary
The Data Engineer is a vital role within Modulr and this role will support the continuous improvement and innovation of our data platform, ensuring processes are robust, efficient and scalable.
Specific duties
- Extract and integrate data from various sources, including APIs, internal databases, and third-party platforms.
- Design and build efficient analytical data models using dimensional modelling methodologies and best practices.
- Build and maintain semantic models to enable self service access to data for internal users.
- Write clean, maintainable, and well-documented code following best practices.
- Write and execute tests and data quality checks.
- Collaborate with cross-functional teams to understand data requirements and develop scalable and effective solutions.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery and re-designing infrastructure for greater scalability.
About You
A successful Data Engineer will have a track-record in delivering results in a fast-moving business and hence be comfortable with change and uncertainty. Excellent stakeholder management experience is essential to being successful in this role.
- 4+ years of experience in a Data Engineering role
- Extensive experience with Python and SQL
- Excellent knowledge of data architecture, data modelling and ETL methodologies.
- Experience using ETL and data orchestration tools
- Experience integrating with BI tools and building semantic models
- Proven experience in supporting and working with cross-functional teams in a dynamic environment.
- Comfortable working in fast-paced, agile environments with a focus on getting things done efficiently. Understanding of agile methodologies and practices.
Nice to Have
- Experience using Snowflake
- Experience using DBT (or similar)
- Experience using semantic layer tools (Cube.dev, AtScale or similar)
- Experience using PowerBI, Streamlit
- Experience using Data Quality tools (Soda, Great Expectations or similar)
- Building and using CI/CD pipelines
- Understanding of AI/ML and GenAI frameworks
- Experience with AWS (if not, then other cloud platforms)
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