Skill: Snowflake DBT
Exp: 6 to 12 years
Location: Pune
Key Responsibilities:
Snowflake & DBT Development
- Design, develop, and maintain DBT models across staging, intermediate, and mart layers, following modular architecture and industry best practices.
- Create and manage DBT assets including tests, documentation, sources, macros, and packages.
- Build scalable, reusable, and maintainable data transformation frameworks.
Data Pipeline Engineering
- Design, develop, and optimize ELT pipelines using DBT integrated with orchestration tools such as Airflow, Dagster, or Prefect.
- Work extensively with AWS and Snowflake-based cloud data platforms.
- Develop, maintain, and tune Snowflake schemas, virtual warehouses, and SQL workloads for optimal performance.
- Ensure efficient execution of data transformations and analytical queries across the data warehouse.
Data Quality, Security & Governance
- Implement and maintain data quality validations within DBT, including uniqueness, null checks, and referential integrity testing.
- Contribute to source control, CI/CD processes, documentation standards, and engineering best practices.
- Establish monitoring, alerting, and failure-handling mechanisms to ensure pipeline reliability.
- Enforce Snowflake security controls such as RBAC, secure views, and cost/performance optimization strategies.
Collaboration & Stakeholder Engagement
- Partner with business stakeholders, analysts, and data consumers to gather requirements and translate them into scalable data models.
- Deliver well-documented, user-friendly datasets and maintain comprehensive DBT documentation.
- Participate in peer code reviews and provide technical mentorship and engineering guidance to team members.
Required Experience & Qualifications
- 3+ years of experience in Data Engineering, Data Warehousing, or ELT development.
- Strong expertise in writing and optimizing complex SQL queries.
- Minimum 2 years of hands-on experience with DBT Cloud in a production environment.
- Proven experience working with AWS-based data ecosystems and Snowflake data warehousing solutions.
- Solid understanding of Git, CI/CD pipelines, and modern data stack practices.
- Strong knowledge of dimensional modeling methodologies, including Kimball, Data Vault, Star Schema, and Snowflake Schema designs.
- Experience integrating DBT with orchestration platforms such as Airflow, Dagster, or Prefect.
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
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