Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessLog in to see why each signal reads the way it does.
Job Description
Structured overview of role & requirementsAbout This Role
Build and operate data platform components including lakehouse, data pipelines, and data quality checks for a UPI/fintech platform serving millions of users.
Take progressive ownership of individual pipeline tasks, including writing/modifying SQL and Spark transformations, adding data quality controls, and supporting pipeline on-call.
Collaborate with product analysts to support queries and data usage while applying cost-aware querying and AI-assisted development tools under guidance.
Minimum Requirements
Final-year student or recent graduate in Computer Science, IT or related field, or equivalent practical experience.
Clear understanding of OLTP vs OLAP systems and ability to write correct SQL with joins, aggregations, filters, and basic window functions.
Working knowledge of Python; familiarity with Scala or Java is a plus.
Work Experience Required: At least one academic project or internship involving data or backend engineering that can be explained in detail.
Ideal Candidate Profile
Comfortable with reading and explaining table schemas and query plans, familiar with data engineering concepts like idempotency, partitioning, and columnar file formats.
Experience or interest in AI-assisted development tools and concepts around LLM/GPT models with the ability to verify AI-generated code.
Demonstrates curiosity by questioning unexpected data patterns and escalating issues promptly; interested in fintech, payments, or data privacy environments.