Senior Data Engineer

Minimum 5 to 10+ years of experience in data engineering or related roles, with deep expertise building data pipelines and data platforms using Python

Hands-on experience with Google Cloud Platform data tools like BigQuery, Dataflow, Pub/Sub, Cloud Storage

Strong understanding of relational and NoSQL databases, SQL, and data modeling concepts

Retail domain experience understanding customer, sales, and inventory data pipelines and business needs

Familiarity with data orchestration and workflow tools (e.g., Apache Airflow)

Knowledge of CI/CD practices for data pipelines deployment and version control with Git

Experience with cloud security best practices and cost optimization techniques

Excellent communication and collaboration skills for cross-team engagement in a remote environment