Data Engineer

Job Summary : We are seeking a highly skilled Data Engineer with strong 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 - Strong hands-on experience with Snowflake Data Warehouse - Proficiency in Python for data processing and automation - Strong 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