Strategic Data Engineering Leader

8 hours ago

Mount Abu, Rajasthan, India beBeeSnowflake Full time US$ 1,40,000 - US$ 1,70,000
Senior Snowflake Developer

We are seeking an experienced Senior Snowflake Developer to lead our team's platform setup, environment provisioning, and resource optimization. As a key member of our data engineering team, you will be responsible for architecting scalable and secure infrastructure-as-code using Terraform or Pulumi (AWS, Azure, or GCP).

  • Design and implement robust CI/CD pipelines and integrate with GitHub Actions, Jenkins, or Azure DevOps.
  • Develop ETL/ELT pipelines using dbt, Airflow, or custom Python solutions.
  • Ensure data security, lineage tracking, and compliance (GDPR, HIPAA, SOC2) through meticulous planning and execution.

Key Responsibilities:

  1. Lead Snowflake platform setup, environment provisioning, RBAC, and resource optimization.
  2. Architect scalable, secure infrastructure-as-code using Terraform or Pulumi (AWS, Azure, or GCP).
  3. Build robust CI/CD pipelines and integrate with GitHub Actions, Jenkins, or Azure DevOps.
  4. Develop ETL/ELT pipelines using dbt, Airflow, or custom Python solutions.
  5. Ingest and transform data from APIs, SaaS apps, and event streams.
  6. Partner closely with data scientists, engineers, and business stakeholders to drive next-gen enterprise data and AI transformation.

Requirements:

  • 5+ years in data engineering or platform operations.
  • 3+ years of deep Snowflake hands-on experience (performance, security, cost).
  • Strong expertise with 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.

About Us:

  • Remote-first 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 Join Us?

  • Be part of a forward-thinking organization that values innovation and collaboration.
  • Work with a talented team of professionals who share your passion for data engineering.
  • Enjoy a dynamic work environment that fosters growth and development.

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