Data Engineer

Description

1. Strong hands-on experience in SQL and Snowflake (mandatory)
2. Proficient in writing complex joins, CTEs, and performance-tuned queries
3. Expertise in ETL/ELT processes and data pipeline development
4. Good understanding of data modeling concepts – Star Schema, Snowflake Schema
5. Working knowledge of Azure services (ADF, Synapse, Blob Storage, etc.)
6. Exposure to Big Data tools and technologies
7. Sound understanding of data structures and data analysis techniques
8. Ability to implement end-to-end data solutions – ingestion, storage, processing
9.Strong SQL skills for data validation, profiling, and analysis
10. Experience in E2E application testing, validation, and verification

Capable of understanding business requirements and delivering data solutions accordingly