Snowflake/Python Developer

*ONSITE INTERVIEW NEXT WEEK IN JERSEY CITY, NJ. NO EXCEPTIONS FOR VIRTUAL!!** *DO NOT APPLY IF YOU CANNOT GO ONSITE FOR INTERVIEW*Key Responsibilities Design, build, and maintain scalable, modular dbt models and transformation pipelines using DBT Core. Understand DBT Architecture thoroughly and experience in writing Python operators in DBT flow. Strong experience in writing Jinja code, macros, seeds etc. Design and develop data warehouses using Snowflake. Build and maintain ETL/ELT pipelines to load data from multiple sources. Optimize Snowflake performance (Clustering, Warehouses, Query tuning).Implement data security (roles, access control, masking) Knowledge of data modeling techniques like data vault and dimensional modeling (Kimball/Inmon).Automate workflows using data orchestration tools (Apache Airflow or Snowflake Tasks) Collaborate with full-stack developers and UI/UX engineers to support application features that rely on transformed datasets. Work closely with analysts and stakeholders to gather data requirements and translate them into reliable data models. Enforce data quality through rigorous testing, documentation, and version control in dbt. Participate in Agile ceremonies (e.g., stand-ups, sprint planning) and manage tasks using Jira. Integrate dbt into CI/CD pipelines and support automated deployment practices. Monitor data performance and pipeline reliability, and proactively resolve issues. Mandatory Qualifications & Skills3–5+ years of experience in data engineering or analytics engineering, with a focus on SQL-based data transformation. Hands-on production experience using dbt core or dbt cloud as a primary development tool. Strong command of SQL and solid understanding of data modeling best practices (e.g., star/snowflake schema).Proven experience with Snowflake as a cloud data warehouse. Python skills for data pipeline integration or ingestion. Familiarity with Git-based version control workflows. Strong communication and collaboration skills, with the ability to work across engineering and business teams. Experience working in Agile/Scrum environments and managing work using Jira. Nice-to-Have Skills Exposure to CI/CD pipelines and integrating dbt into automated workflows. Experience with cloud platforms such as AWS.Understanding of how data is consumed in downstream analytics tools (e.g., Sigma, Qlik, Power BI).Familiarity with Docker and container-based development.