Transformative Snowflake Expert

1 day ago

Varanasi, Uttar Pradesh, India beBeeSnowflake Full time ₹ 12,00,000 - ₹ 15,00,000
Senior Snowflake Developer Position

We are seeking a highly skilled and experienced Snowflake developer to lead full lifecycle implementations, including secure platform setup, cloud integration, and high-performance data pipeline development.

This role is ideal for individuals who thrive at the intersection of data engineering, infrastructure, and DevOps, and want to contribute to enterprise-grade analytics and AI projects.

Key Responsibilities
  • Establish and maintain secure Snowflake platforms with optimized resources and robust environment provisioning
  • Design scalable and secure infrastructure-as-code using Terraform or Pulumi on AWS, Azure, or GCP
  • Develop efficient CI/CD pipelines integrated with GitHub Actions, Jenkins, or Azure DevOps
  • Create ETL/ELT pipelines using dbt, Airflow, or custom Python solutions
  • Effortlessly ingest and transform data from APIs, SaaS apps, and event streams
  • Ensure comprehensive data security, lineage tracking, and compliance (GDPR, HIPAA, SOC2)
  • Foster close collaboration with data scientists, engineers, and business stakeholders
Required Skills and Qualifications
  • 5+ years of experience in data engineering or platform operations
  • 3+ years of hands-on experience in Snowflake performance, security, and cost optimization
  • Strong proficiency in SQL, Python, Terraform/YAML, and Git workflows
  • Proven expertise in CI/CD and DevOps methodologies
  • Experience with at least one major cloud provider (AWS, Azure, or GCP)
Benefits of Joining Our Team
  • Collaborative work environment with experts in data engineering and infrastructure
  • Opportunities for professional growth and skill development
  • Flexible work arrangements to balance work-life harmony
Additional Advantages
  • SnowPro Advanced certification for Architects or Data Engineers
  • Experience with dbt, Fivetran, Informatica, or Matillion for advanced data processing
  • Familiarity with Kafka, Delta Lake, Iceberg, or Databricks for big data and streaming
  • Background in regulated industries like finance or healthcare for added depth

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