We are looking for a Senior Data Engineer with 5+ years of experience to design, build, and optimize scalable ELT/ETL pipelines across our modern data stack. You will own ingestion, data modeling, orchestration, and performance tuning across Snowflake and cloud storage.

Key Responsibilities
Build robust batch and streaming ingestion pipelines using PySpark or Python.
Design modular, tested dimensional models (star/snowflake schemas) in Snowflake using dbt.
Develop, schedule, and maintain enterprise Apache Airflow DAGs and automated alerts.
Optimize Snowflake performance, query execution, clustering, and compute costs.
Implement automated data quality checks, CI/CD deployment pipelines, and Git best practices.

Requirements
Experience: 5+ years of hands-on data engineering in production settings.
Core Skills: Expert SQL, advanced Python, and distributed processing with PySpark.
Contemporary Data Stack: Solid production experience with Snowflake, dbt (incremental models, macros), and Airflow.
Cloud & DevOps: Hands-on experience with AWS, GCP, or Azure, plus Docker, Git, and CI/CD pipelines.
Architecture: Solid understanding of data modeling, performance profiling, and cost governance.

📌 Data Engineer Hyderabad
🏢 RandomTrees
📍 Hyderabad