Job Summary :

We are seeking a highly skilled Data Engineer with solid expertise in Snowflake and Python to design, develop, and maintain scalable data pipelines and cloud-based data platforms. The ideal candidate will have experience in building efficient ETL/ELT workflows, optimizing Snowflake data warehouses, and working with large datasets to support analytics and business intelligence solutions.

Key Responsibilities :
Design, develop, and maintain data pipelines using Snowflake and Python.
Implement ETL/ELT workflows for ingesting and transforming large-scale datasets.
Develop and optimize Snowflake data warehouse structures, schemas, and queries.
Use Python for data processing, automation, and integration tasks.
Work with structured and semi-structured data (JSON, Parquet, CSV) in Snowflake.
Implement data modeling techniques (Star/Snowflake schema) to support analytics.
Optimize query performance, warehouse usage,



and cost management in Snowflake.
Integrate data from multiple sources such as APIs, databases, and cloud storage.
Collaborate with data analysts, BI teams, and stakeholders to deliver reliable data solutions.
Monitor and troubleshoot data pipeline failures and performance issues.

Required Skills :
6+ years of experience in Data Engineering or Data Platform roles
Solid hands-on experience with Snowflake Data Warehouse
Proficiency in Python for data processing and automation
Robust SQL development and performance tuning skills
Experience building ETL/ELT pipelines
Experience with data modeling and data warehousing concepts
Knowledge of cloud platforms (AWS / Azure / GCP)
Experience with version control systems like Git

📌 Data Engineer Hyderabad
🏢 Zorba consulting
📍 Hyderabad