Snowflake / Databricks Data Science Engineer (8+ Years Experience)
We are looking for an experienced Snowflake & Databricks Data Engineer / Data Science Engineer with strong expertise in building scalable data pipelines, analytics solutions, and cloud data platforms. Key Responsibilities: Design, build, and optimize ETL/ELT data pipelines using Snowflake and Databricks Develop scalable data models, schemas, and data warehousing solutions Implement data transformations using PySpark, SQL, and Spark Work with cloud platforms (AWS/Azure/GCP) for data ingestion and orchestration Ensure data quality, governance, and performance optimization Collaborate with data scientists, analysts, and cross-functional teams Build and deploy ML workflows/notebooks (preferred) Required Skills: Strong hands-on experience with Snowflake (warehouses, stages, streams, tasks, stored procedures) Expertise in Databricks (PySpark, Delta Lake, notebooks, jobs) Advanced SQL, Python, and distributed data processing Experience with ETL tools, data integration, and pipelines Familiarity with cloud services: AWS Glue, Azure Data Factory, or GCP equivalents Knowledge of CI/CD for data engineering is a plus Exp : 8 Years Apply tot his job