Description

Key Skills: Redshift, Pyspark, AWS, SQL, Python

Roles and Responsibilities:

• Build and maintain batch data pipelines using AWS Glue and PySpark.
• Design and optimize data models and loading patterns for Amazon Redshift.
• Develop data transformation logic for structured and semi-structured datasets.
• Support ingestion, cleansing, and reconciliation of source data into analytics layers.
• Partner with data and business teams to deliver dependable datasets for reporting and analysis.

Skills Required:

• 5-10 years of relevant data engineering experience.
• Hands-on experience with AWS, Amazon Redshift, PySpark, and AWS Glue.
• Strong data engineering background with scalable pipeline and warehouse design experience.
• Experience handling large datasets and optimizing data processing workflows.
• Working knowledge of SQL and Python for data transformation and validation.

Good to Have:

• SQL
• Python

Education: Bachelor's degree in Computer Science or a related field

Key Skills

Education

Any Graduate