AWS Data Engineer with Snowflake

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