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.