Responsible for designing developing and maintaining efficient data pipelines and integrations across multicloud environments to ensure reliable scalable and costeffective data delivery for analytics and business operations
Key Responsibilities
Proficiency in Python and SQL
Familiarity with data warehousing concepts star schemas dimensional modeling OLTP vs OLAP
Design build and maintain ETLELT pipelines that move and transform data across hybrid environments AWS GCP Oracle Cloud
Establish data quality checks validation logic and data reconciliation processes
Optimize pipeline runtime compute usage storage tiering and query costs especially in BigQuery create and maintain documentation for the data pipelines built using Airflow
Working knowledge of Git CICD and contemporary DevOps practices