Snowflake Senior Engineer

Job Summary:We are seeking an experienced Snowflake Developer with a minimum of 5 years of hands-on experience in SQL and Python. The ideal candidate will possess a robust background in data modeling, including OLTP, OLAP, and Data Vault 2.0, along with industry experience working with DBT and CI/CD pipelines, preferably in Azure DevOps. The Snowflake Developer will be responsible for designing, developing, and maintaining scalable data solutions that effectively meet the needs of our organization. Key Responsibilities:Develop and maintain complex data pipelines and ETL processes in Snowflake.Write efficient and optimized SQL queries for data extraction, transformation, and loading.Utilize Python for advanced data processing, automation tasks, and integration with other systems.Implement and oversee data modeling techniques, including OLTP, OLAP, and Data Vault 2.0 methodologies.Collaborate with data architects, analysts, and stakeholders to design optimal and scalable data solutions.Manage and optimize CI/CD pipelines using Azure DevOps for seamless deployment of data solutions.Ensure data quality, integrity, and compliance throughout the data lifecycle.Troubleshoot, optimize, and enhance existing data processes and queries for performance improvements.Document data models, processes, and workflows clearly for future reference and knowledge sharing. Qualifications:Education:Master s degree in computer science, Information Technology, or a related field.Experience:Minimum of 5 years of proven experience as a Snowflake Developer or in a similar data engineering role.Extensive hands-on experience with SQL and Python, demonstrating proficiency in data manipulation and analysis.Significant industry experience working with DBT (Data Build Tool) for data transformation.Strong familiarity with CI/CD pipelines, preferably in Azure DevOps.Deep understanding of data modeling techniques (OLTP, OLAP, Data Vault 2.0) and best practices.Skills:Proficient in writing complex SQL queries and optimizing performance.Strong programming skills in Python, with experience in data processing frameworks.In-depth knowledge of Snowflake architecture, features, and best practices.Proven industry experience for data modelling using Data Vault 2.0 Experience building data pipelines using DBTStrong understanding of data warehousing concepts, methodologies, and technologies.Excellent problem-solving, analytical, and critical thinking skills.Strong communication, collaboration, and interpersonal skills. Preferred Qualifications:Experience in working with large datasets and performance tuning in Snowflake.Familiarity with data governance, data security best practices, and compliance standards.Knowledge of additional data technologies (e.g., AWS, Azure, GCP) is a plus.Experience in leading projects or mentoring junior developers is advantageous.