Junior Data Engineer

About the role

We are looking for a Junior Data Engineer to join our Data Platform team. You will design and maintain scalable data pipelines and architectures using AWS services, enabling reliable data movement, transformation, and analytics at scale. You will collaborate with analytics, product, and engineering teams to support reporting, dashboards, and insights for millions of students and schools.

What you'll do

• Design, build, and maintain ETL/ELT pipelines for large-scale data ingestion, transformation, and loading
• Develop and optimize Spark and PySpark jobs for batch and real-time data processing
• Work with AWS services (S3, Glue, Lambda, Redshift, Athena, EMR) to manage the data ecosystem
• Support the design and implementation of Data Lake and Data Warehouse architectures
• Implement data validation, partitioning, and schema management for efficient query performance

What you need

• 3–5 years in data science & ai
• SQL
• AWS
• Python
• Spark
• Dashboarding
• Data visualisation
• B.Sc or B.Tech or B.E. or BCA

Good to have

• Databricks
• Azure Data Factory
• BigQuery
• Airflow
• GCP
• PostgreSQL

What you get

• ₹12 L–₹15 L a year