Data Engineer

4 days ago

New Delhi, India Modulr Full time

SummaryThe 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 YouA 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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