This role is for one of Weekday’s clients

Min Experience: 5+ years
Location: Remote (India), India
JobType: full-time
We are seeking an experienced Snowflake Data Engineer with 5–8 years of hands-on experience in data engineering, data warehousing, and large-scale data migration. The ideal candidate will have robust expertise in Snowflake Data Warehousing, ETL/ELT development, and Oracle-to-Snowflake migration. You will be responsible for designing scalable data solutions, developing efficient data pipelines, and supporting the modernization of enterprise data platforms.
Key Responsibilities
Design, develop, and maintain scalable data warehouse solutions using Snowflake.
Develop robust and optimized ETL/ELT pipelines for ingesting, transforming, and loading data from multiple source systems.
Lead and execute Oracle-to-Snowflake migration activities, including data assessment, mapping, transformation, validation, and reconciliation.
Analyze existing Oracle databases, stored procedures, ETL workflows, and data models to determine appropriate migration strategies.




Design and implement efficient data models, schemas, tables, views, and data structures in Snowflake.
Develop SQL queries, transformations, and data processing workflows while ensuring performance and maintainability.
Optimize Snowflake workloads through appropriate warehouse sizing, query optimization, clustering, partitioning, and resource management.
Build data pipelines that ensure data quality, reliability, accuracy, and timely availability for downstream analytics and reporting.
Perform data validation and reconciliation between Oracle and Snowflake during migration and post-migration activities.
Collaborate with data architects, analysts, application teams, and business stakeholders to understand data requirements.
Troubleshoot data pipeline failures, performance issues, and data quality problems.
Establish and follow best practices for data security, governance, documentation, and operational monitor

📌 Snowflake Data Engineer (India)
🏢 Weekday AI
📍 India