Jobs → Data & Analytics → Snowflake / Databricks Data Engineer

About the Role We are looking for an experienced Data Engineer with strong expertise in Snowflake, Databricks, Python, SQL, and Apache Spark to build scalable enterprise data platforms and pipelines. Key Responsibilities • Design and develop scalable batch and incremental data pipelines using Snowflake and Databricks • Build ETL/ELT workflows for structured and semi-structured data • Develop data models and curated datasets for analytics and reporting • Optimize Snowflake queries and Databricks jobs for performance and cost efficiency • Implement data quality checks, validation, and monitoring • Automate pipeline deployment, scheduling, and operational workflows • Troubleshoot pipeline failures and resolve data processing issues • Apply data governance, access control, and security practices • Collaborate with analysts, architects, and engineering teams • Maintain technical documentation and data flow processes Requirements • 9+ years of professional data engineering experience • Strong hands-on experience with Snowflake and Databricks • Advanced SQL and Python programming skills • Experience with Apache Spark and large-scale data processing • Strong knowledge of ETL/ELT pipeline development • Experience with data modeling and performance optimization • Understanding of data quality, testing, and troubleshooting • Knowledge of secure data access and governance practices • Experience supporting production data engineering environments