Senior Data Engineer at Valpay designing scalable data infrastructure to support analytics and reporting. Collaborating with cross-functional teams in a fast-paced fintech environment.
Responsibilities
Design, develop, and maintain scalable data pipelines and ETL/ELT processes.
Build and optimize data models, warehouses, and data lakes to support business and product analytics.
Partner with cross-functional stakeholders to understand data needs and deliver actionable solutions.
Ensure data quality, integrity, governance, and observability across all systems.
Improve the performance, reliability, and scalability of our data platform.
Support real-time and batch data processing requirements.
Develop and maintain documentation, standards, and best practices for data engineering.
Collaborate with software engineers to integrate data solutions into customer-facing products and internal systems.
Requirements
5–8 years of experience in Data Engineering, Analytics Engineering, or a related field.
Strong academic background in Computer Science, Engineering, Mathematics, Statistics, or a related quantitative discipline.
Experience designing and maintaining modern data architectures and large-scale data pipelines.
Advanced SQL skills and strong proficiency in Python or another relevant programming language.
Experience with cloud data platforms and modern data stack technologies.
Strong understanding of data modeling, warehousing concepts, and distributed data systems.
Proven ability to work cross-functionally and communicate technical concepts to non-technical stakeholders.
Experience in payments, fintech, financial services, or transaction-heavy environments is strongly preferred.
High attention to detail and a commitment to data quality and reliability.
Strong knowledge of Snowflake, DBT, Airflow
Strong knowledge and kills in AI development with top LLMs
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