Data Engineer (DBT + Snowflake)

# Data Engineer (DBT + Snowflake) ## Company Overview *Company details not specified.* ## Job Summary We are seeking a skilled **Data Engineer** with expertise in **DBT (Data Build Tool)** and **Snowflake** to design, build, and optimize modern data pipelines and analytics solutions. The ideal candidate will play a critical role in developing scalable data solutions that enhance the organization’s data analytics capabilities. ## Responsibilities - Design, develop, and maintain **ELT** pipelines using **DBT** and **Snowflake**. - Build and optimize data models, transformations, and reusable **DBT** macros to support analytics and reporting. - Manage **Snowflake** warehouse architecture, including schema design, role-based access control, and query optimization. - Implement best practices for performance tuning, clustering, partitioning, and cost optimization in **Snowflake**. - Develop **CI/CD** workflows for **DBT** projects using **Git**, **dbt Cloud**, or other orchestration tools (e.g., **Airflow**, **Dagster**, **Prefect**). - Collaborate with data analysts, **BI** developers, and business teams to translate requirements into scalable data solutions. - Implement data governance, lineage, and testing to ensure high-quality and reliable data delivery. - Monitor data pipelines, troubleshoot issues, and ensure timely delivery of datasets. - Integrate **Snowflake** with upstream and downstream systems (AWS/GCP/Azure, APIs, **Kafka**, **BI** tools). - Document data pipelines, models, and workflows for long-term maintainability. ## Qualifications - **5+ years** of experience in data engineering, including at least **2+ years** hands-on experience with **DBT** and **Snowflake**. - Strong expertise in **SQL** and performance tuning on cloud data warehouses. - Proficiency in **DBT** for transformations, testing, and modular data modeling. - Hands-on experience with **Snowflake** features including warehouses, roles, security, tasks, streams, and materialized views. - Familiarity with cloud platforms (**AWS**, **GCP**, **Azure**) and storage systems (**S3**, **GCS**, **ADLS**). - Experience with version control (**Git**) and **CI/CD** pipelines. - Good understanding of data governance, security, and compliance practices. - Strong problem-solving skills, attention to detail, and collaboration abilities. ## Preferred Skills - Experience with **data visualization** tools and frameworks. - Knowledge of **ETL**/ELT methodologies and architectures. - Understanding of machine learning concepts and implementation. ## Experience - Minimum of **5 years** of relevant experience in data engineering. ## Environment - This is a **remote** position, allowing for flexibility in location. ## Salary *Salary details not specified.* ## Growth Opportunities *Opportunities for career advancement within the company not specified.* ## Benefits *Benefits details not specified.*