Data Engineering Intern
Ahmedabad, IndiaFull-timeEntry · 0-1 years
About this role
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).
● Strong 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