Fam (FamPay)
Data Engineering Intern
ClosedThis opening has closed. New ones like it are posted on WhatsApp every day.
Get new jobs on WhatsApp- Location
- Bengaluru
- Work mode
- Onsite
- Experience
- Final-year student or recent graduate
- Pay
- ₹25K–40K/mo (Est.)
- Type
- Internship
- Added
- 1 October 2026
About this role
Fam is a payments app for users above 11, offering UPI and a FamCard. The Data Engineering Intern works with the Fam Data Team on the data platform, covering the lakehouse, data pipelines and data quality checks that feed analytics, product and compliance reporting. Interns start with well-scoped tasks under a mentor and gradually take end-to-end ownership of individual pipeline tasks. Day to day this means writing SQL and simple Spark transformations, adding quality checks, shadowing pipeline on-call and helping analysts. The role is on-site in Bengaluru and suits final-year students or recent graduates with solid SQL and Python skills.
Fam (FamPay) was hiring for Data Engineering Intern, an internship based in Bengaluru (onsite).
Who can apply: Final-year student or recent graduate. Skills: SQL, Python, Airflow, Spark, Git, Linux.
This opening has closed (closed on 2026-10-16). Open roles like it are listed on this page and at hirastra.com/jobs.
What you'll do
- Learn how OLTP source systems feed the OLAP lakehouse and trace the flow of Airflow DAG tasks
- Write and modify SQL queries and simple Spark/SQL transformations, and validate their output
- Add row-count and null checks and logging to owned pipeline tasks, keeping pipelines idempotent
- Shadow the pipeline on-call rotation: spot failed runs and freshness breaches, escalate, and run existing backfill playbooks
- Support product analysts by fixing queries, pointing to datasets in the data catalog and publishing reusable views
- Use AI coding and data tools responsibly, reviewing all generated code and keeping PII out of prompts
What you need
- Final-year student or recent graduate in Computer Science, IT or a related field, or equivalent practical experience
- Clear understanding of OLTP vs OLAP systems
- Correct, readable SQL including joins, aggregations, filters and basic window functions
- Working knowledge of Python; Scala or Java is a plus
- Basic understanding of how LLMs work and practical use of AI coding assistants
- At least one academic project or internship in data or backend engineering, plus proficiency with Git, Linux and the command line
Skills
- SQL
- Python
- Airflow
- Spark
- Git
- Linux
"Est." = Hirastra's estimate based on market data, not an official figure.
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