Cloud Data Engineer

1 month ago


New York, United States Atlas Search Full time

3 days onsite


We are seeking an experienced Cloud Data Engineer with expertise in Kafka, Snowflake, and MongoDB to design and manage robust, scalable data pipelines within a cloud environment. This role involves building CI/CD pipelines to automate and streamline data workflows, ensuring data integrity and security across test and production environments.

Responsibilities:

  • Build and maintain data pipelines for Kafka streaming, Snowflake warehousing, and MongoDB storage.
  • Develop and scale CI/CD processes, automating data delivery and quality control.
  • Govern standards and best practices for CI/CD and data engineering systems.
  • Integrate security controls, including static/dynamic analysis and container scanning.
  • Collaborate with development and QA teams to ensure quality data solutions.
  • Work closely with IT security to align with security and compliance standards.
  • Ensure system resiliency and support BCP (Business Continuity Planning) scenarios.

Key Technologies:

  • Data Stack: Kafka, Snowflake, MongoDB
  • CI/CD Tools: GitHub, Azure DevOps, Harness
  • Cloud & Automation: AWS (EC2, Fargate, MSK), HashiCorp Terraform, Vault

Requirements:

  • Bachelor’s degree in Computer Science, Engineering, or related field.
  • 5+ years in a cloud data engineering role with a focus on Kafka, Snowflake, and MongoDB.
  • Strong experience in CI/CD and cloud security practices.
  • Preferred certifications: AWS Certified Solutions Architect or similar.

This is an opportunity to drive innovation in cloud data engineering within a collaborative and technology-forward environment.


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