Description

You will design and maintain data pipelines using Snowflake and AWS services. You own the ETL processes from ingestion to consumption.

Responsibilities

• Build and optimize ETL pipelines using Snowflake, AWS Glue, and Airflow.
• Develop serverless data processing solutions using AWS Lambda.
• Write efficient PySpark scripts for large-scale data transformations.
• Maintain Python-based data engineering tools and scripts.

Required Skills

• 5+ years of experience as a Data Engineer.
• Strong proficiency in Snowflake SQL and data modeling.
• Hands-on experience with AWS Airflow for workflow orchestration.
• Proficiency in AWS Glue for ETL development.
• Experience with AWS Lambda for serverless computing.
• Advanced Python programming skills.
• Practical experience with PySpark for data processing.

Preferred Skills

• Experience working in hybrid environments in Bengaluru or Noida.
• Familiarity with IST shift operations.

Key Skills

Education

Any Graduate