Data Engineer

Key Responsibilities

Design, develop, and maintain scalable ELT pipelines using dbt for data transformation and modeling.

Orchestrate and manage data workflows using Argo Workflows in a Kubernetes environment.

Build and operate cloud-native data pipelines running on Kubernetes, ensuring reliability, scalability, and observability.

Collaborate with analytics, data science, and business teams to translate data requirements into well-modeled datasets.

Implement data quality checks, testing, and monitoring within dbt and orchestration layers.

Optimize performance of data transformations, queries, and workflow executions.

Ensure data security, governance, and compliance standards are followed.

Participate in code reviews, documentation, and knowledge sharing across the team.

Troubleshoot and resolve data pipeline failures, performance bottlenecks, and infrastructure issues.

Support CI/CD practices for data pipelines and dbt proj...