Description

You will build and support analytic technologies within complex data warehouse environments to provide structured data access.

Responsibilities

• Develop and support analytic technologies for timely and flexible data access.
• Build and maintain ETL pipelines to handle large-scale datasets.
• Design data models for complex warehousing environments.
• Research new technologies to improve system scalability.

Required Skills

• 5+ years of professional experience in data engineering.
• Proven experience with data modeling and warehousing.
• Hands-on experience building ETL pipelines.
• Proficiency with AWS services.
• Experience with Redshift.
• Experience with Kinesis.
• Experience with Lambda.

Preferred Skills

• Experience with AWS technologies including S3, AWS Glue, EMR, Firehose, and IAM roles and permissions.
• Experience with non-relational databases such as object storage, document stores, key-value stores, graph databases, or column-family databases.

Key Skills

Education

Any Graduate