Snowflake Develop

Job Role: Jr Data Engineer/ Snowflake Developer Location: Remote Duration : 6-12 Months Contract Job Summary: We are seeking a highly motivated Junior Data Engineer / Junior Snowflake Developer with a strong foundation in data engineering concepts and hands-on experience in Snowflake, AWS, and Python. The ideal candidate will have a good grasp of ETL pipelines, complex SQL development, and Snowflake's advanced features. You will be a key player in designing, developing, and maintaining scalable data solutions that enable reliable and efficient analytics. Key Responsibilities: • Develop and maintain scalable ETL pipelines from various source systems to staging and data marts. • Work with Snowflake utilities, SnowSQL, and SnowPipe to develop stored procedures and handle data ingestion and processing tasks. • Leverage Snowflake advanced features like Resource Monitors, Role-Based Access Control (RBAC), Zero-Copy Cloning, Virtual Warehouses, Streams, and Tasks. • Write, optimize, and debug complex SQL queries for data extraction, transformation, and loading. • Perform database performance tuning to support fast and reliable reporting. • Work closely with senior engineers and stakeholders to analyze, migrate, cleanse, and validate data for analytics and reporting purposes. • Support CI/CD pipeline automation and manage deployments using industry-standard tools. • Perform data quality checks including mismatch identification, validation, import/export, and transformation using ETL tools like Informatica, Talend, Teradata, or DataStage. • Collaborate across teams to ensure efficient data integration and availability in Snowflake for downstream systems. Required Qualifications: • Bachelor’s degree or foreign equivalent in Computer Science, Information Technology, or a related field. • 4+ years of total experience in Information Technology. • 1+ year of hands-on experience with Snowflake development including SnowSQL, SnowPipe, stored procedures, and performance tuning. • 3+ years of experience with AWS services and Python programming. • Strong proficiency in writing and understanding complex SQL queries. • Knowledge of CI/CD tools and automation best practices. • Solid experience in data analysis, data validation, cleansing, and migration using ETL tools (e.g., Informatica, Talend, Teradata, DataStage).