Sr Data Engineer
Nium (company site, opens in a new tab)4–6 yrsMumbaiOn-siteDirect career pageEst. 18–28 LPA
Posted 28d ago
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Reach people at Nium
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Nium you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
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.