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).




Solid 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 Ahmedabad
🏢 BRILWORKS TECHNOLOGY PRIVATE
📍 Ahmedabad