Data Engineering and Cloud Infrastructure Specialist

4 days ago

Vizag, Andhra Pradesh, India beBeeSnowflake Full time ₹ 18,00,000 - ₹ 24,00,000

We are seeking a skilled Snowflake Developer and Infrastructure Integration Expert to join our team on a full-time basis.

The ideal candidate will have experience with secure platform setup, cloud integration, and high-performance data pipeline development. They will also have expertise in Terraform or Pulumi, AWS, Azure, or GCP, and be able to architect scalable and secure infrastructure-as-code.

Key Responsibilities:

  • Lead the setup and maintenance of Snowflake platforms, including environment provisioning, RBAC, and resource optimization
  • Design and implement robust CI/CD pipelines using GitHub Actions, Jenkins, or Azure DevOps
  • Develop ETL/ELT pipelines using dbt, Airflow, or custom Python solutions
  • Integrate and transform data from APIs, SaaS apps, and event streams
  • Ensure data security, lineage tracking, and compliance with GDPR, HIPAA, and SOC2

Requirements:

  • 5+ years of experience in data engineering or platform operations
  • 3+ years of hands-on experience with Snowflake (performance, security, cost)
  • Strong skills in SQL, Python, Terraform/YAML, and Git workflows
  • Proven CI/CD and DevOps knowledge
  • Experience with at least one major cloud provider (AWS, Azure, or GCP)

Bonus Points:

  • SnowPro Advanced (Architect or Data Engineer) certification
  • Experience with dbt, Fivetran, Informatica, or Matillion
  • Familiarity with Kafka, Delta Lake, Iceberg, or Databricks
  • Background in SaaS or regulated industries like finance or healthcare

Benefits:

  • Remote work flexibility
  • Competitive pay and equity options
  • Certifications and professional development support
  • Health, dental, and wellness programs
  • Opportunity to drive next-gen enterprise data and AI transformation

Why Choose Us:

  • Competitive compensation package
  • Professional growth and development opportunities
  • Collaborative and dynamic work environment
  • Opportunity to make a meaningful impact in the field of data engineering and AI

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