Description

You will design scalable data warehouse solutions and manage large-scale datasets. This role is on-site.

Responsibilities

• Build and maintain ETL pipelines to process data from heterogeneous sources.
• Design scalable data warehouse architectures ensuring data integrity and availability.
• Perform performance tuning to optimize data processing and storage efficiency.
• Manage large datasets and ensure system reliability.

Required Skills

• 6+ years of experience in data engineering.
• Strong programming skills in Python.
• Proficiency in SQL.
• Hands-on experience with AWS Glue.
• Experience working with Snowflake.
• Experience working with Amazon Redshift.
• Experience managing workflows with Airflow.
• Expertise in building ETL pipelines.

Key Skills

Education

Any Graduate