General Summary
Under the supervision of the Manager of Analytics the Senior Developer works with developers business analysts and business partners in a fast-paced delivery environment for data and analytics. The Senior Developer is responsible for designing building and optimizing enterprise-grade data pipelines analytical data models and machine-learningready datasets within our Snowflake ecosystem. This role serves as a bridge between Data Engineering Analytics and Data Science enabling high-quality insight creation and data-driven innovation across the organization. The Senior Developer has deep experience with modern cloud data platforms advanced SQL development data modeling AI/ML integration and business intelligence solutions.
Principal Duties and Responsibilities
- Design build and maintain scalable data pipelines transformations and models in Snowflake ensuring performance reliability and optimal storage patterns.
- Collaborate closely with Analytics and Data Science teams to enable advanced analytics experimentation frameworks and model monitoring.
- Advanced data design analysis and profiling
- Understand create and implement process design and target data models
- Partner with business stakeholders data scientists and analysts to translate requirements into well-governed datasets and analytical assets
- Develop test debug and document data structures data schemas and data processes
- Address performance or data quality issues
- Data mining auditing aggregation validation and reconciliation
- Support operational excellence through monitoring automated testing CI/CD deployment practices and DataOps principles
- Agile ceremonies: Code reviews Sprint Reviews/Commitments Sprint planning
Experience
- Bachelors Degree in Computer Science MIS Mathematics or related field
- 6 years of professional experience in data engineering in data warehouse big data and analytics areas
- Expertise with ETL ELT and streaming data pipelines and related tools and technologies
- 3 years of hands-on experience using Snowflake or other relational data stores
- Advanced experience with semi-structured document processing such as XML & JSON
- Advanced experience with programming and scripting using bash Python Perl etc
- Must be knowledgeable of data warehouse concepts including the use of dimensional modeling and schema designs
- Advanced experience with performance tuning of SQL queries
- Thorough understanding of systems analysis and design SDLC
- Ability to analyze complex applications and systems with minimal supervision
- Strong problem-solving skills
- Excellent communication skills
- Experience with CI/CD (Azure DevOps preferred) version control and automated deployment frameworks
- Prior work in fintech risk analytics consumer lending or highly regulated environments is strongly preferred
Skills and Abilities
- Ability to effectively communicate with business users to understand business processes
- Highly Proficient in analyzing business objectives and requirements
- Skills in design and development of efficient data integration solutions
- Ability to design and maintain scalable data architectures that support analytics operational insights and machine learning
- Experience with data integration tools such as Informatica Matillion Streamsets or similar tools
- Highly proficient in SQL
- Ability to analyze business and system processes to support solution development
- Understanding and ability to manage through an enterprise-wide project/solution impacts issues and risks
- Ability to manage across company teams to ensure collaboration in support of high-quality solutions
- Familiarity with AI/LLM integration patterns (feature engineering inference pipelines embeddings and ML frameworks)
- Strong verbal and written communication and presentation skills
- Advanced experience with Visio and related design/flow tools. Fluent with Microsoft Excel Word and Outlook. Medium skill level with MS Project.
- Comfortable in a fast-paced and cutting-edge development environment
California Employee Privacy Policy Family & Medical Leave Act Employee Polygraph Protection Act E-Verify
#LI-BJ1
Required Experience:
Senior IC
General SummaryUnder the supervision of the Manager of Analytics the Senior Developer works with developers business analysts and business partners in a fast-paced delivery environment for data and analytics. The Senior Developer is responsible for designing building and optimizing enterprise-grade ...
General Summary
Under the supervision of the Manager of Analytics the Senior Developer works with developers business analysts and business partners in a fast-paced delivery environment for data and analytics. The Senior Developer is responsible for designing building and optimizing enterprise-grade data pipelines analytical data models and machine-learningready datasets within our Snowflake ecosystem. This role serves as a bridge between Data Engineering Analytics and Data Science enabling high-quality insight creation and data-driven innovation across the organization. The Senior Developer has deep experience with modern cloud data platforms advanced SQL development data modeling AI/ML integration and business intelligence solutions.
Principal Duties and Responsibilities
- Design build and maintain scalable data pipelines transformations and models in Snowflake ensuring performance reliability and optimal storage patterns.
- Collaborate closely with Analytics and Data Science teams to enable advanced analytics experimentation frameworks and model monitoring.
- Advanced data design analysis and profiling
- Understand create and implement process design and target data models
- Partner with business stakeholders data scientists and analysts to translate requirements into well-governed datasets and analytical assets
- Develop test debug and document data structures data schemas and data processes
- Address performance or data quality issues
- Data mining auditing aggregation validation and reconciliation
- Support operational excellence through monitoring automated testing CI/CD deployment practices and DataOps principles
- Agile ceremonies: Code reviews Sprint Reviews/Commitments Sprint planning
Experience
- Bachelors Degree in Computer Science MIS Mathematics or related field
- 6 years of professional experience in data engineering in data warehouse big data and analytics areas
- Expertise with ETL ELT and streaming data pipelines and related tools and technologies
- 3 years of hands-on experience using Snowflake or other relational data stores
- Advanced experience with semi-structured document processing such as XML & JSON
- Advanced experience with programming and scripting using bash Python Perl etc
- Must be knowledgeable of data warehouse concepts including the use of dimensional modeling and schema designs
- Advanced experience with performance tuning of SQL queries
- Thorough understanding of systems analysis and design SDLC
- Ability to analyze complex applications and systems with minimal supervision
- Strong problem-solving skills
- Excellent communication skills
- Experience with CI/CD (Azure DevOps preferred) version control and automated deployment frameworks
- Prior work in fintech risk analytics consumer lending or highly regulated environments is strongly preferred
Skills and Abilities
- Ability to effectively communicate with business users to understand business processes
- Highly Proficient in analyzing business objectives and requirements
- Skills in design and development of efficient data integration solutions
- Ability to design and maintain scalable data architectures that support analytics operational insights and machine learning
- Experience with data integration tools such as Informatica Matillion Streamsets or similar tools
- Highly proficient in SQL
- Ability to analyze business and system processes to support solution development
- Understanding and ability to manage through an enterprise-wide project/solution impacts issues and risks
- Ability to manage across company teams to ensure collaboration in support of high-quality solutions
- Familiarity with AI/LLM integration patterns (feature engineering inference pipelines embeddings and ML frameworks)
- Strong verbal and written communication and presentation skills
- Advanced experience with Visio and related design/flow tools. Fluent with Microsoft Excel Word and Outlook. Medium skill level with MS Project.
- Comfortable in a fast-paced and cutting-edge development environment
California Employee Privacy Policy Family & Medical Leave Act Employee Polygraph Protection Act E-Verify
#LI-BJ1
Required Experience:
Senior IC
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