Senior Data Engineer

Senior Data Engineer / ETL Developer – Snowflake & DBTRemote RoleFulltime/W2- Infinite Computer SolutionsRole Overview:10+ years of overall experience in Data Engineering, ETL development, and data warehousing.Strong hands-on experience with Snowflake and DBT.Experience working within Investment Banking, Private Equity, Banking, or Financial Services environments.Candidates should have practical experience applying AI and automation to data engineering or financial services use cases.Key ResponsibilitiesDesign, develop, and maintain scalable ETL/ELT pipelines using Snowflake and DBT.Build reliable data transformation workflows, data models, and data integration solutions.Work with large and complex financial datasets while ensuring data quality, security, and governance.Collaborate with business and technology teams to understand requirements and deliver robust data solutions.Optimize Snowflake queries, workloads, and data pipelines for performance and scalability.Develop automated data quality, reconciliation, monitoring, and validation processes.Identify opportunities to use AI and automation to improve data engineering processes and business operations.Evaluate and implement AI-enabled solutions that can reduce manual effort and improve accuracy and efficiency.Required Technical Skills10+ years of Data Engineering / ETL experience.Strong Snowflake experience.Strong DBT experience, including data transformations and data modeling.Advanced SQL and strong understanding of data warehousing concepts.Strong ETL/ELT development experience.Experience with data integration, data quality, and pipeline automation.Experience in Banking / Financial Services, preferably Investment Banking or Private Equity.Understanding of modern data engineering and cloud data platforms.Hands-on or practical exposure to AI, Generative AI, Machine Learning, or intelligent automation.Interview Steps: MS Teams Video Interviews