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Snowflake / Cortex AI Developer

Snowflake / Cortex AI Developer

Tata Consultancy Services
Early Applicant
  • Posted 2 days ago
  • Be among the first 10 applicants

Job Description

Greetings from Tata Consultancy Services (TCS)!

We are looking for experienced professionals with strong expertise in Snowflake, DBT, and AI-driven data engineering solutions to join our growing data and analytics team.

Role: Snowflake / DBT / Cortex AI Developer

Experience: 10+ Years

Technical Skills Required

  • Strong hands-on experience with Snowflake Data Warehouse and cloud-based data platforms.
  • Expertise in DBT (Data Build Tool) for developing and managing data transformation workflows.
  • Experience with Snowflake Cortex AI or a strong interest in implementing AI-powered use cases within Snowflake.
  • Strong SQL skills with experience in writing and optimizing complex queries.
  • Solid understanding of Data Warehousing, Dimensional Modeling, Star Schema, and Data Modeling concepts.
  • Experience with Git, version control, and CI/CD practices.
  • Knowledge of performance tuning, query optimization, and Snowflake resource management.
  • Experience with Agile development methodologies.
  • Good communication and stakeholder collaboration skills.

Roles & Responsibilities

  • Design, develop, and optimize scalable data models and pipelines within Snowflake.
  • Build and maintain data transformation frameworks using DBT.
  • Develop and integrate AI/ML capabilities leveraging Snowflake Cortex AI features.
  • Implement best practices for dimensional modeling, star schema design, and enterprise data warehousing.
  • Collaborate with developers, architects, and business stakeholders to design scalable data solutions.
  • Optimize Snowflake workloads, query performance, and compute/storage utilization.
  • Develop and maintain DBT models, tests, documentation, and reusable transformation frameworks.
  • Manage version-controlled analytics engineering code using Git and CI/CD processes.
  • Ensure data quality, reliability, governance, and performance standards are met.
  • Participate in design reviews, troubleshooting, and production support activities.

Good to Have

  • Experience with Python for data engineering and data transformation.
  • Exposure to other cloud data warehouses and modern data platforms.
  • Knowledge of AI/ML implementation within enterprise data ecosystems.
  • Experience working with large-scale analytics and reporting environments.

Interested candidates can share their updated CV.

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