Role Title- Snowflake Data Engineer Role

Position Type- Contract ( 3-6 months)

Location- India

Salary Upto 2.5 L p.m

Role Overview

We are seeking an experienced Data Engineer to support a high-priority data integration and cloud enablement initiative. The primary focus of this role is designing and executing end-to-end ELT pipelines and data transfer workflows migrating structured data from SQL sources into Snowflake and orchestrating bulk file transfers into Azure Data Lake Storage (ADLS).

Responsibilities
- Design, build, and maintain scalable ELT/ETL pipelines and data workflows for ingestion and transformation.
- Execute structured data extraction, movement, and landing from relational SQL databases directly into Snowflake staging and core layers.
- Build, execute, and monitor file movement tasks to efficiently transfer flat files, logs, or unstructured formats into Azure Data Lake Storage (ADLS).
- Write and tune high-performance SQL queries for data modeling, validation, data verification, and staging transformations.




- Conduct data reconciliation and completeness checks to ensure zero loss across data pipelines during bulk migration.
- Collaborate closely with the Lead Data Integration Expert and client engineering teams to align with platform connectivity, security, and governance protocols.

Required Skills
- ELT / Data Pipelines: Proven, hands-on experience building, optimizing, and monitoring production ELT/ETL pipelines and data workflows.
- SQL & Relational Databases: Robust proficiency in SQL (writing complex queries, performance tuning, indexing) for extracting and validating large datasets across relational engines.
- Snowflake: Hands-on experience loading and modeling data in Snowflake using staging strategies, COPY commands, or bulk loading utilities.
- Azure Cloud Storage: Solid background working with Azure Data Lake Storage (ADLS Gen2), Blob Storage, and associated file transfer/ingestion patterns.
- File Processing: Practical experience w

📌 Data Engineer (India)
🏢 USEReady
📍 India