Snowflake Data Engineer at Weekday AI in IN

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 strong 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 monitoring.
• Contribute to the modernization of legacy data platforms and migration from traditional data warehouses to cloud-based solutions.

Must-Have Skills

• 5–8 years of experience in Data Engineering or Data Warehousing.
• Strong hands-on experience with Snowflake Data Warehousing.
• Strong expertise in ETL/ELT development and data pipeline engineering.
• Proven experience with Oracle-to-Snowflake migration projects.
• Advanced SQL skills with experience working with complex queries, joins, transformations, and performance optimization.
• Strong understanding of data warehousing concepts, dimensional modeling, fact and dimension tables, and data integration patterns.
• Experience with data migration, reconciliation, validation, and troubleshooting.
• Good understanding of cloud-based data platforms and modern data engineering practices.

Good-to-Have Skills

• Experience with ETL tools such as Informatica, Talend, Matillion, or similar platforms.
• Exposure to Python for data engineering and automation.
• Experience with AWS, Azure, or GCP data services.
• Knowledge of Snowflake features such as Streams, Tasks, Snowpipe, Dynamic Tables, and Time Travel.
• Familiarity with CI/CD, Git, and DevOps practices.
• Experience working in Agile development environments.

Qualifications

Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field is preferred.

The ideal candidate should be analytical, detail-oriented, and capable of working independently while collaborating effectively with cross-functional teams. Strong communication and problem-solving skills are essential for successfully managing complex data migration and engineering initiatives.