Description

You will design and manage scalable data warehouses using Amazon Redshift.

Responsibilities

• Design and manage scalable Amazon Redshift data warehouses.
• Develop and maintain ETL/ELT pipelines to ingest, transform, and load data.
• Write optimized SQL queries for data extraction, transformation, and reporting.
• Monitor and tune Redshift performance using vacuuming, distribution keys, and sort keys.
• Integrate Redshift with AWS services including S3, Lambda, Glue, Athena, and Kinesis.
• Create and maintain data models, schemas, and documentation.

Required Skills

• 5+ years of experience in data engineering roles.
• Expertise in Amazon Redshift and data warehousing solutions.
• Proficiency in SQL, including performance tuning and complex queries.
• Experience with ETL tools such as AWS Glue, Apache Airflow, Talend, or Informatica.
• Solid understanding of data modeling, including star/snowflake schemas and partitioning.
• Proficiency in Python or Shell scripting for automation.
• Hands-on experience with AWS cloud environments.
• Any Graduate degree in Computer Science, Information Systems, Engineering, or a related field.

Key Skills

Education

Any Graduate