Data Engineer

About the role

We are looking for a highly skilled and hands-on Senior Data Engineer to join our growing data engineering practice in Mumbai. This role requires deep technical expertise in building and managing enterprise-grade data pipelines, with a primary focus on Amazon Redshift, AWS Glue, and data orchestration using Airflow or Step Functions.

What you'll do

• Design, develop, and maintain high-throughput ETL/ELT pipelines using AWS Glue (PySpark), orchestrated via Apache Airflow or AWS Step Functions
• Lead and contribute to migration projects from Snowflake or traditional RDBMS to Redshift, ensuring minimal downtime and robust validation
• Integrate and normalize data from heterogeneous sources including REST APIs, AWS Aurora (MySQL/Postgres), streaming inputs, and flat files
• Implement intelligent caching strategies, leverage EC2 and serverless compute (Lambda, Glue) for custom transformations and processing at scale
• Write advanced SQL for analytics, data reconciliation, and validation, demonstrating strong SQL development and tuning experience

What you need

• 1–3 years in data science & ai
• AWS
• Snowflake
• SQL
• BigQuery
• ETL
• Python
• Any graduate

Good to have

• Redshift
• Airflow
• Spark
• Data modelling
• Data warehousing
• REST APIs

What you get

• ₹6 L–₹10 L a year