Data Engineering Fresher :
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
