We are looking for a Data Engineer with 5+ years of experience and strong hands-on expertise in Snowflake, SQL, Python, and ETL/ELT. The candidate will be responsible for building scalable data pipelines, data warehouse solutions, and reliable data platforms.Design, develop, and maintain scalable ETL/ELT data pipelines.Develop and optimize complex SQL queries and Snowflake workloadsBuild data warehouse solutions and data models using Snowflake.Integrate data from multiple sources and implement data quality and validation processes.Optimize Snowflake performance and cloud infrastructure costs.Troubleshoot production data pipeline issues and ensure data reliability.Collaborate with analysts, data scientists, and business teams to deliver data solutions.Follow best practices for code quality, testing, version control, and documentation.5+ years of experience in Data Engineering.Strong hands-on experience with Snowflake.Advanced SQL skills.Strong experience with Python and ETL/ELT.Good understanding of data warehousing and data modeling.Experience with AWS, Azure, or GCPExperience with Git and CI/CD practices.Strong problem-solving and communication skills.Experience with Airflow, dbt, Azure Data Factory, or AWS GlueKnowledge of Spark/PySpark.Experience with Snowflake Streams, Tasks, Snowpipe, Dynamic Tables, or SnowparkExposure to Kafka, data governance, and data security