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MD

Data Engineer

Macpower Digital Assets Edge Private Limited
๐Ÿ‡บ๐Ÿ‡ธ United States
Remote
Manager or above
5 days ago
  • Windows
  • Python
  • SQL
  • Databricks
  • Apache Airflow
  • AWS
  • EMR
  • EC2
  • ECS
  • API Gateway
  • CI/CD
  • Devops
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Location and Schedule:

  • On-site at headquarters from 8:00 a.m. to 5:00 p.m. preferred.
  • Hiring manager prefers 5 days on-site.
  • Remote may be considered for highly qualified candidates on PST hours.
Job Summary:
  • Establish database management systems, standards, and guidelines.
  • Define and document conceptual and logical database designs.
  • Plan capacity, external data interfaces, data loading, maintenance, and security.
  • Evaluate and install database management systems.
  • Code complex programs and design logical processes on target platforms.
  • Build windows, screens, and reports for business applications.
  • Assist with user interface and application prototypes.
  • Participate in quality assurance and develop test application code.
  • Define and defend database tables, fields, and data standards.
  • Translate business requirements into data models and specifications.
  • Define table relationships and field interactions for relational models.
  • Determine data suitability and optimal storage organization.
  • Work closely with a team of approximately 15 engineers.
Core Focus Areas:
  • Build reliable, scalable data pipelines.
  • Design and optimize data models.
  • Perform data analysis to support business needs.
Required Experience:
  • Minimum 8 years of data engineering experience.
  • Bachelor's degree preferred.
  • Alternatives may be accepted as follows.
    • PhD or Law plus 6 years of experience.
    • Master's degree plus 7 years of experience.
    • Associate degree plus 9 years of experience.
    • High school diploma plus 10 years of experience.
Technical Skills:
  • Strong proficiency in Python and SQL.
  • Hands-on experience with Databricks.
  • Experience with Apache Airflow for orchestration.
  • Strong knowledge of AWS services including EMR and SQL-based tooling.
  • Experience building production systems using AWS EC2, ECS, API Gateway, and Lambda.
  • Experience implementing CI/CD and DevOps for deployment and production support.
Soft Skills:
  • Strong documentation and communication skills.
  • Ability to work in a collaborative team environment.
  • Strong attention to detail and quality.
  • Ability to manage priorities and deliver on deadlines.
Interview Process:
  • Two coding rounds.
  • Each round is 1 hour.

Data Engineer ยท Macpower Digital Assets Edge Private Limited

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