Description

Design and implement cloud data warehouse solutions and end-to-end data pipelines.

This role is on-site.

Responsibilities

• Implement cloud data warehouse architectures using Snowflake or similar platforms.
• Develop and maintain data pipelines using DataStage and PL/SQL.
• Deploy full-lifecycle cloud data pipelines from ingestion to production.
• Manage data integration processes across AWS, Azure, or GCP environments.
• Own the architecture, development, and deployment of data systems across major cloud providers.

Required Skills

• 5+ years of professional experience in data engineering.
• Advanced expertise with Snowflake or comparable cloud warehouses (Redshift, Azure SQL Data Warehouse, or Google BigQuery).
• Proven experience with IBM DataStage and PL/SQL.
• At least 4 years of advanced SQL development experience.
• Direct experience developing and deploying at least one documented full cloud data pipeline project.
• Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP).
• Bachelor's degree or equivalent graduate level education.

Preferred Skills

• 3-4 years of experience with Python.
• Experience building pipelines using Azure Data Factory, Matillion, DBT, or Spark.

Key Skills

Education

Any Graduate