Snowflake Data Engineer

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. Requirements 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.