Job Description

Job Description

We are looking for a Data Engineer with 3–6 years of experience in modern data engineering and cloud data warehousing. The ideal candidate should have strong hands-on expertise in Snowflake, dbt, and Airflow, along with working knowledge of Coalesce. The role involves designing, developing, and optimizing scalable data pipelines, data transformations, and analytics-ready datasets to support business intelligence and reporting needs.

Key Responsibilities
• Design, develop, and maintain scalable data pipelines using Snowflake and dbt.
• Build and optimize ELT/ETL workflows and data transformation processes.
• Develop and manage workflow orchestration using Apache Airflow.
• Design and implement data models for analytics and reporting.
• Integrate data from multiple sources including APIs, SaaS applications, databases, and flat files.
• Implement data quality checks, monitoring, and validation frameworks.
• Optimize query performance and warehouse utilization within Snowflake.
• Collaborate with business stakeholders, Data Analysts, and BI teams to deliver data solutions.
• Maintain technical documentation, data lineage, and transformation logic.
• Participate in code reviews and follow development best practices.