Job Title: Data Engineer
Experience: 6+ Years
Location: Remote
Employment Type: Contract
Role Overview
We are looking for an experienced Data Platform / Analytics DevOps Engineer to design, build, and maintain scalable, secure, and automated data engineering platforms. The role focuses on Infrastructure-as-Code, CI/CD automation, and operational excellence across dbt, Snowflake, Azure Cloud, Apache Airflow, and Power BI. You will work closely with data engineers, analysts, and business stakeholders to enable reliable and high-performing data workflows.
Key Responsibilities
- Design and implement Infrastructure-as-Code (IaC) using Terraform for Azure, Snowflake, dbt, Airflow, and Power BI environments.
- Build and maintain CI/CD pipelines using GitHub Actions and Azure DevOps for data workflows, deployments, and testing.
- Design and implement Snowflake RBAC and security models, aligned with Retail domain best practices.
- Support and optimize dbt models, deployments, and environments.
- Manage and monitor Apache Airflow pipelines for reliability and performance.
- Implement monitoring, logging, and alerting for proactive issue detection.
- Optimize system performance for availability, scalability, and security.
- Collaborate with data engineers, analysts, and business teams to align DevOps practices with analytics needs.
- Maintain clear documentation for infrastructure, processes, and operational best practices.
Required Skills & Qualifications
- Strong hands-on experience with ( dbt, Snowflake, and Azure Cloud.)
- Experience with Apache Airflow for orchestration.
- Proficiency in SQL, Python, and Bash scripting.
- Strong experience with Terraform for data platform automation.
- Hands-on experience with CI/CD tools such as GitHub Actions and Azure DevOps.
- Knowledge of Power BI deployment and governance.
- Solid understanding of data warehousing concepts (fact tables, dimension tables).
- Experience designing secure, scalable RBAC strategies in Snowflake.
- Strong troubleshooting, optimization, and documentation skills.
Good to Have
- Retail domain experience.
- Experience with monitoring tools and alerting frameworks.
- Exposure to cost optimization and performance tuning in cloud data platforms.
Skills: dbt,azure,data,sql azure,snowflake,devops,airflow
