Snowflake Developer (Nightshift-Offshore, India) - 100% WFH

Snowflake Developer (AI/ML Expertise)

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Position Overview

highly skilled, autonomous, and results-driven Snowflake Developer

6+ years of hands-on experience

self-motivated professional

Key Responsibilities

• Design, develop, and deploy

  Snowflake data warehouses, data lakes, and pipelines

  , integrating

  AI/ML models

  and advanced analytics capabilities.
• Build and maintain

  ETL pipelines

  using

  Snowflake native tools

  ,

  Fivetran

  ,

  DBT

  , and

  custom AI/ML-driven data transformations

  .
• Collaborate with cross-functional teams to

  embed machine learning insights

  and

  predictive analytics

  into data models and reporting structures.
• Implement

  AI/ML-based anomaly detection

  ,

  data quality validation

  , and

  performance optimization

  within Snowflake.
• Continuously

  fine-tune Snowflake performance

  using

  AI/ML-assisted auto-scaling and auto-tuning

  mechanisms.
• Operate independently —

  prioritize tasks, meet deadlines

  , and deliver

  high-quality, business-impacting results

  with minimal oversight.

Required Skills and Qualifications

• Snowflake Development & Certification

  (Developer or Architect level preferred)
• Expertise in

  Snowflake Cortex

  and

  Snowflake Arctic

• Strong experience in

  Data Engineering, Data Modeling, and Data Governance

• Proven ability in

  ETL pipeline design and orchestration

• Proficiency in

  SQL, DBT, and Fivetran

• Hands-on experience in

  Machine Learning, Natural Language Processing (NLP), Predictive Analytics

  , and

  Anomaly Detection

• Knowledge of

  AI/ML-powered optimization

  within the Snowflake ecosystem
• Integration experience with

  Azure Databricks

  and

  Azure Data Factory

• Availability during CST business hours

  is mandatory (

  8 AM PST – 3 PM PST / 8:30 PM IST – 3:30 AM IST

  )

Why Join Vegah LLC

• Work with

  state-of-the-art Snowflake AI/ML technologies

  (Cortex, Arctic, Snowpark ML).
• Drive

  innovation and automation

  across data engineering pipelines.
• Collaborate with

  high-performing, outcome-focused professionals

  who value independence and accountability.
• Flexible,

  remote-first environment

  with a culture that rewards ownership and measurable results.