Data Engineer

Role Overview - • We are looking for a skilled Data Engineer with 6-9 years of strong hands-on experience in building scalable and efficient data pipelines. The ideal candidate will have deep expertise in DBT, Snowflake, and Python, and a solid understanding of modern data engineering practices. • You will be responsible for designing, developing, and optimizing data pipelines and transformation workflows to support analytics, reporting, and business intelligence needs. Key Responsibilities • Design, develop, and maintain scalable data pipelines using DBT, Snowflake, and Python • Build and manage data transformation workflows using DBT (models, macros, testing, and documentation) • Develop efficient data ingestion and processing pipelines using Python • Optimize Snowflake data models, queries, and performance for large-scale datasets • Ensure data quality, reliability, and consistency through testing and validation frameworks • Collaborate with data analysts, business teams, and stakeholders to understand data requirements • Implement best practices for data modeling, version control, and pipeline orchestration • Monitor and troubleshoot data pipeline issues and performance bottlenecks • Maintain clear and structured documentation for data workflows and pipelines Required Skills & Qualifications • 5–7 years of hands-on experience in Data Engineering • Strong expertise in DBT (Data Build Tool) • Solid experience with Snowflake (data warehousing, performance tuning, optimization) • Strong expertise in Python for data processing and pipeline development • Good understanding of SQL and data modeling concepts (star schema, dimensional modeling) • Experience with data pipeline orchestration tools (Airflow or similar) • Familiarity with data quality and testing frameworks • Strong problem-solving and analytical skills Preferred Qualifications • Experience working in cloud environments (AWS, Azure, or GCP) • Familiarity with CI/CD practices for data pipelines • Exposure to real-time or streaming data pipelines is a plus • Experience in enterprise-scale data platforms Key Deliverables • Robust and scalable data pipelines • Optimized Snowflake data models and queries • DBT-based transformation frameworks • High-quality, reliable datasets for analytics and reporting