Snowflake Developer

Responsibilities:

· Design, develop, and maintain Snowflake-based data solutions, including data warehouses and data marts

· Build and optimize ELT pipelines using Snowflake features such as Tasks, Streams, Stored Procedures, and Snowpipe

· Ingest and transform data from multiple sources using cloud storage stages and Snowflake ingestion mechanisms

· Develop and maintain analytics-ready data models following dimensional modeling best practices

· Optimize performance and cost through query tuning, clustering strategies, and warehouse sizing

· Implement data security and governance using role-based access control, masking, and row-level policies

· Use Dataiku for data preparation, orchestration, and automation where applicable

· Develop and support data visualization and reporting solutions using tools such as Qlik and Power BI

· Apply programming skills in Python for data processing, automation, and pipeline development

· Collaborate with data architects, analysts, and business stakeholders to translate requirements into technical solutions

· Ensure data quality, reliability, and proper documentation across data pipelines and platforms

· Support CI/CD practices and version control for Snowflake development

Requirements:

· Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field

· 3–5+ years of experience in data development or data engineering roles

· Strong hands-on experience with Snowflake, including advanced SQL, Tasks, Streams, Stored Procedures, and Snowpipe

· Solid experience designing and building ELT/data pipelines in cloud environments

· Strong understanding of data modeling concepts (star schema, dimensional modeling)

· Experience working with cloud platforms such as AWS, Azure, or GCP

· Good understanding of data security and access control, including role-based access control (RBAC)

· Proficiency in data visualization and reporting tools such as Qlik or Power BI

· Working knowledge of Python for data processing, scripting, and automation

· Familiarity with version control and CI/CD practices (e.g., Git, Jenkins or similar tools)

· Strong analytical, problem-solving, and performance-tuning skills

· Ability to communicate effectively with both technical and non-technical stakeholders

Preferred Qualifications:

· Experience using Dataiku for data preparation, pipeline orchestration, or automation

· Exposure to modern ELT and analytics tools such as dbt, Airflow, Informatica, Talend, or similar platforms

· Experience implementing CI/CD pipelines for data platforms and Snowflake objects

· Familiarity with infrastructure-as-code or automation tools (e.g., Terraform) for cloud data environments

· Experience working in enterprise, multi-region, or global delivery environments

· Understanding of data governance, data quality frameworks, and cost optimization in cloud data platforms

· Relevant certifications in Snowflake, cloud platforms (AWS/Azure/GCP), or data engineering are a plus