Data Engineering Intern :

What You Will Do

- Build and maintain ELT pipelines using dbt, Fivetran, and Apache Airflow under

senior guidance.

- Write clean, optimised SQL and Python for data transformation and ingestion

tasks.

- Assist with Snowflake and Databricks platform work — schema design,

warehouse configuration, cluster tuning.

- Run cost-analysis queries to identify over-spending patterns (auto-scaling,

unpartitioned scans, idle clusters).

- Support data migration projects moving clients from legacy warehouses (SQL

Server, Teradata, on-prem) to the cloud.

- Participate in code reviews, documentation, and knowledge-sharing within the

engineering team.

- Contribute to internal tooling and reusable pipeline templates that accelerate

client delivery.

What We Are Looking For

Must-have

- Bachelor's degree in Computer Science, Information Systems, or a related

technical field (2025 or 2026 graduate).





- Robust SQL fundamentals — joins, aggregations, window functions, query

optimisation basics.

- Python proficiency: writing scripts, working with pandas / PySpark, reading and

writing to APIs or files.

- Understanding of data warehouse concepts — schemas, fact/dimension tables,

partitioning, indexing.

- Genuine curiosity about data infrastructure and cloud platforms.

Nice-to-have

- Hands-on exposure to Snowflake or Databricks through coursework, self-study,

or internships.

- Familiarity with dbt (data build tool) — even working through the dbt Learn

tutorials counts.

- Experience with any cloud provider (AWS, Azure, or GCP) at the student-project

or certification level.

- Knowledge of orchestration tools such as Apache Airflow or Prefect

📌 Data Engineering Intern (India)
🏢 BRILWORKS TECHNOLOGY PRIVATE
📍 India