Exp-7 to 10 Years Np-Immediate Roles & Responsibilities
- Pipeline Development: Build and maintain optimal ETL/ELT data pipelines using AWS Glue, Amazon EMR, or AWS Lambda.
- Data Warehousing: Design and optimize cloud data warehouses using Amazon Redshift, Snowflake, or S3 data lakes.
- Data Modeling: Implement dimensional modeling, star/snowflake schemas, and maintain high standards for data quality and governance.
- 3+ years of hands-on experience with Snowflake architecture (Streams, Tasks, Snowpark, Copy/Put commands).
- Advanced SQL writing and performance tuning capabilities.
- Proficiency in Python or Scala for data manipulation and automation scripts.
- Knowledge and working experience of Dremio is an add-on
- Write scalable data transformation code using SQL, Python, and PySpark to process raw inputs into usable data formats.
- Manage data lake storage: Handle table formats like Apache Iceberg or Parquet directly on cloud object storage (AWS S3, Azure Blob) Pay: ₹100,000.00
- ₹200,000.00 per month Application Question(s):
- Over All Experience?
- Np?
- CCTC?
- Ectc?
- Having Experience with AWS Glue, EMR, Lambda, S3? Work

Location:
Remote

📌 AWS Data Engineer with Snowflake (India)
🏢 Amsan Technology
📍 India