Data Scientist Lead

24 hours ago

Tiruppur, Tamil Nadu, India beBeeDataScientist Full time ₹ 30,00,000 - ₹ 45,00,000

About the Role -

Lead the Design and Implementation of Scalable Data Solutions

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  • We are seeking an experienced IT professional with a strong background in Snowflake Data Cloud to lead the design, implementation, and optimization of scalable data solutions.
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This individual will be responsible for architecting and delivering end-to-end data solutions on Snowflake, leveraging their expertise in Snowflake architecture, data warehousing, data lakes, serverless/cloud automation, and AI/LLM concepts.

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  • The ideal candidate will have a deep understanding of data warehousing concepts and work with structured, semi-structured, and unstructured data.
  • They will apply their expertise in Snowflake architecture (compute, storage, security, data sharing) to develop and manage API-based integrations and automation.
  • Key Responsibilities:
    • Architect and deliver end-to-end data solutions on Snowflake.
    • Demonstrate deep understanding of data warehousing concepts and work with structured, semi-structured, and unstructured data.
    • Apply deep expertise in Snowflake architecture (compute, storage, security, data sharing).
    • Use Snowflake native load utilities (e.g., Snowpipe, COPY INTO) for data ingestion and transformation.
    • Develop and manage API-based integrations and automation.
    • Lead data governance, quality, security, and compliance efforts.
    • Optimize performance and manage costs.
    • Oversee Snowflake infrastructure provisioning, scaling, and monitoring.
    • Act as primary stakeholder contact; drive meetings and translate business needs.
    • Foster innovation in data architecture, analytics, and AI-driven solutions.
    • Collaborate with cross-functional teams.
    • Stay current on Snowflake advancements, especially AI features like Cortex.
    • Proactively perform POCs for new Snowflake features & drive adoptions.
    • Leverage data lake frameworks & serverless technologies
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Qualifications:

  • Bachelor's/master's in computer science, IT, or related field.
  • 4-12 years of Snowflake Data Cloud experience.
  • Deep understanding of Snowflake architecture and ecosystem.
  • Strong grasp of data warehousing concepts and diverse data structures.
  • Expertise in Snowflake native load utilities.
  • API integration and automation experience.
  • Data governance, security, and compliance background.
  • Performance optimization and cost management skills.
  • Experience with Snowflake infrastructure management.
  • Excellent communication and stakeholder management.
  • Innovative, AI-driven mindset.
  • Hands-on Python for data engineering/automation.
  • Knowledge of AI, LLMs, and Snowflake AI features (e.g., Cortex).
  • Experience with data lake frameworks and serverless technologies.

Preferred Qualifications:

  • Familiarity with data modelling, Python, Pyspark and warehousing best practices.
  • Exposure to MLOps, AI/ML pipelines, or deploying AI models.
  • Snowflake or relevant cloud certifications.

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