Roles and

Responsibilities:
Design, develop, and maintain scalable ETL/ELT data pipelines using Python, SQL, and dbt. Build and manage dbt models, tests, macros, snapshots, incremental models, and deployments. Develop and optimize data models in Snowflake, Redshift, or similar data warehouses. Implement data quality checks, testing, monitoring, and pipeline reliability practices. Optimize SQL queries and warehouse performance for efficiency and scalability. Manage data orchestration, pipeline dependencies, and end-to-end data workflows. Collaborate with cross-functional teams to deliver trusted, business-ready data. Take ownership of deliverables, troubleshoot production issues, and mentor junior team members. Required

Qualifications:
Bachelor’s or Master’s degree,



or equivalent professional experience. 4–6+ years of data engineering experience with strong Python and SQL skills. At least 1 year of production experience with dbt. Robust understanding of data modeling, Job

Requirements:
We are looking for an experienced Senior Data Engineer with 4–6+ years of experience in data engineering, strong Python and SQL skills, and hands-on production experience with dbt. The role involves building and maintaining scalable data pipelines, developing reliable data models, optimizing warehouse performance, and ensuring data quality across modern data platforms.

📌 Data Engineer (Bengaluru)
🏢 Aspire Systems
📍 Bengaluru