Sr Data Engineer
Nium (company site, opens in a new tab)4–6 yrsMumbaiOn-siteDirect career pageEst. 18–28 LPA
Posted on 17 Sept
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Job description
Structured overview of role & requirements
About This Role
- Own the development and optimization of scalable, high-performance data pipelines and workflows using tools like Airflow, Redshift, dbt, and Kafka.
- Lead the migration and evolution of on-premises data systems to AWS cloud infrastructure while ensuring data quality, reliability, observability, and security.
- Collaborate cross-functionally with global product, engineering, analytics, and business teams to deliver robust data solutions supporting millions of users in a payments environment.
Minimum Requirements
- 4-6 years of professional experience in Data Engineering or a related role.
- Strong SQL expertise including query optimization and complex data modeling.
- Proficiency in Python for data engineering and pipeline development.
- Hands-on experience with AWS services (Redshift, Lambda, Glue, S3) and orchestration tools like Airflow.
Ideal Candidate Profile
- Experienced in large-scale cloud migration projects and modern data transformation practices using dbt.
- Familiar with real-time data streaming frameworks such as Kafka and CI/CD pipelines for data platforms.
- Comfortable working in a fast-scaling fintech environment supporting high-volume global payments with a collaborative and proactive approach.