Data Engineering Internship Program at Fam in Bengaluru: Eligibility, Skills and Apply Link
Fam, previously known as FamPay, is inviting applications for its Data Engineering Internship Program in Bengaluru, Karnataka. Interns will work with the Fam Data Team on the data platform that supports analytics, product insights and compliance reporting for its fintech services.
The internship begins with defined tasks under a mentorβs guidance. As interns gain experience, they will take ownership of individual data pipeline tasks.
Fam Data Engineering Internship: Overview
| Detail | Information |
|---|---|
| Company | Fam (previously FamPay) |
| Role | Data Engineering Intern |
| Location | Bengaluru, Karnataka, India |
| Eligible candidates | Final-year students and recent graduates in Computer Science, Information Technology or a related field; candidates with equivalent practical experience may also apply |
| Key skills | SQL, Python, Git, Linux and command line |
| Additional knowledge | OLTP and OLAP systems, table schemas, LLM fundamentals and AI coding assistants |
| Stipend and duration | Not specified in the shared job description |
| Application mode | Online |
About Fam
Fam is a payments app for users above the age of 11. Through FamApp, users can make online and offline payments using UPI and FamCard. The company is building financial products and experiences for young users in India.
What Will a Data Engineering Intern Do?
As a Data Engineering Intern, you will learn how data moves from operational systems into Famβs analytics lakehouse. Your work may include:
- Reading table schemas and tracing tasks in Airflow data pipelines.
- Writing SQL queries and simple Spark or SQL transformations, then checking that the results are correct.
- Adding row-count checks, null checks and useful logging to pipeline tasks.
- Shadowing an experienced engineer during pipeline on-call work, identifying failed runs and helping with backfills under guidance.
- Using partition filters to write more cost-conscious queries.
- Helping product analysts find appropriate datasets, fix queries and use reusable views.
- Using approved AI tools for data discovery and development while protecting personally identifiable information.
- Prototyping small improvements and presenting what you learn during sprint reviews.
Who Can Apply?
Fam is looking for final-year students or recent graduates in Computer Science, Information Technology or a related field. Candidates with equivalent practical experience are also eligible.
Applicants should be able to:
- Explain the difference between OLTP and OLAP systems.
- Write readable SQL using joins, aggregations, filters and basic window functions.
- Work with Python and read a table schema.
- Use Git, Linux and the command line.
- Explain at least one academic project or internship involving data or backend engineering.
- Describe basic LLM concepts, including tokens, context windows, prompting and hallucinations.
- Use AI coding assistants responsibly by reviewing and testing their output.
Familiarity with Scala or Java is a plus.
Skills That May Strengthen Your Application
Fam also lists experience with Spark, Airflow, Parquet, partitioning, query plans, AWS S3 and IAM, and BI tools such as Power BI, Superset or Metabase as good to have. Exposure to RAG, embeddings, vector databases or running an open-weight LLM locally may also be useful.
These are additional skills; candidates who meet the core requirements can still consider applying.
How to Apply for the Fam Data Engineering Internship
- Review the full job listing and confirm that it is still accepting applications.
- Prepare a resume that clearly explains your SQL, Python and data or backend projects.
- Be ready to discuss one project in detail, including your contribution and how you checked your results.
- Submit your application through the LinkedIn listing below.
Apply here: Fam Data Engineering Intern β LinkedIn job listing
