Job description

Senior Data Engineer (AWS, Snowflake, SQL) Experience: 2–4 Years of relevant experience Key Skills: • AWS Cloud Services • Snowflake Data Warehouse • Advanced SQL • Python Scripting • ETL/ELT Development • Data Integration & Optimization Responsibilities: • Develop and maintain scalable data pipelines using AWS and Snowflake. • Create complex SQL-based data extraction and transformation processes. • Build and support data ingestion frameworks from multiple data sources. • Develop Python scripts for data processing and automation. • Load and manage structured and semi-structured data (CSV, JSON, XML, Parquet, etc.). • Ensure data quality, performance optimization, and operational support. Qualifications: BE Btech Range of Year Experience-Min Year: 2 Range of Year Experience-Max Year: 4

Requirements

Must-haves

Senior Data Engineer (AWS, Snowflake, SQL)
Experience: 2–4 Years of relevant experience
AWS Cloud Services
Snowflake Data Warehouse
Advanced SQL
Python Scripting
ETL/ELT Development
Data Integration & Optimization
Responsibilities: • Develop and maintain scalable data pipelines using AWS and Snowflake.
Create complex SQL-based data extraction and transformation processes.
Build and support data ingestion frameworks from multiple data sources.
Develop Python scripts for data processing and automation.
Load and manage structured and semi-structured data (CSV, JSON, XML, Parquet, etc.).
Ensure data quality, performance optimization, and operational support.
Qualifications: BE Btech
Range of Year Experience-Min Year: 2
Range of Year Experience-Max Year: 4

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

awssqlpython

Platform: brassring
Effort: medium