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Job Title: Senior Data Engineer – Snowflake Experience: 8+ Years Location: Remote Joining: Immediate / Short Notice PreferredJob Description:We are looking for a highly skilled Senior Data Engineer with strong hands-on experience in Snowflake, Python, PySpark, AWS Glue, and SQL to join our team for a remote engagement. The ideal candidate will have extensive experience in building, optimizing, and maintaining scalable data pipelines and cloud-based data solutions.Key Responsibilities:Design, develop, and optimize data pipelines using Snowflake and cloud-native services.Develop ETL/ELT workflows using Python, PySpark, and AWS Glue.Write complex and high-performance SQL queries for data transformation and analytics.Integrate data from multiple sources into Snowflake data warehouse.Ensure data quality, reliability, and performance across pipelines.Collaborate with cross-functional teams including analytics, business, and DevOps.Perform performance tuning, cost optimization, and troubleshooting.Follow best practices for data security, governance, and documentation.Required Skills:8+ years of overall experience in Data Engineering / Data Warehousing.Strong hands-on expertise in Snowflake (schema design, performance tuning, optimization).Proficiency in Python and PySpark for data processing.Solid experience with AWS Glue and AWS-based data services.Advanced knowledge of SQL (complex joins, window functions, query optimization).Experience working with large-scale data sets in cloud environments.Strong problem-solving and communication skills.Good to Have:Experience with orchestration tools (Airflow, Step Functions, etc.).Knowledge of CI/CD pipelines for data workflows.Exposure to data governance and security best practices.Why Join Us:100% remote opportunityWork on modern cloud and data platformsFast-paced environment with immediate impact