Senior Data Intelligence Engineer - Scale Data Platforms

Ampcus, Inc

Reston (VA)

On-site

USD 110,000 - 150,000

Full time

14 days+

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Job summary

Ampcus Inc. is seeking a Senior Data Intelligence Engineer to join their Reston, VA team. You will orchestrate, deploy, and scale cloud-based data infrastructure focusing on reliability, automation, and performance.

Responsibilities include developing data warehouses, data lakes, and data access APIs; transforming data into insights; and designing scalable data models with strong data governance. 5+ years in data engineering desirable.

Qualifications

  • Bachelor's degree in Computer Science, Information Technology or Engineering or related field.
  • Proficiency in SQL, NoSQL and Python.
  • Experience with data warehousing, data lakes and data modeling.
  • ETL/ELT development experience with relational and NoSQL databases.
  • Strong data movement, auditing and performance optimization knowledge.
  • Excellent communication and problem-solving skills.

Responsibilities

  • Develop and maintain data infrastructure including data warehouses and data lakes with data access APIs.
  • Interpret data and provide reports; translate data into actionable insights.
  • Design data models and manage data classes, indexes, repositories and backup plans.
  • Create data collection frameworks for structured and unstructured data.
  • Implement best practices for data reliability, scalability and performance.

Skills

SQL
NoSQL
Python
Data modeling
ETL/ELT
Data warehousing
Data lake
Communication skills

Education

Bachelor's Degree

Tools

Ab Initio
AWS

Job description

Ampcus Inc. is seeking a Senior Data Intelligence Engineer to join their Reston, VA team. You will orchestrate, deploy, and scale cloud-based data infrastructure focusing on reliability, automation, and performance.

Responsibilities include developing data warehouses, data lakes, and data access APIs; transforming data into insights; and designing scalable data models with strong data governance. 5+ years in data engineering desirable.

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