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
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