Role Overview
The Data Engineer will support and enhance a large-scale enterprise data platform within a regulated public-sector environment. This role focuses on building, maintaining, and optimizing data pipelines, databases, and analytics solutions using modern cloud and big data technologies. The position operates in an Agile development environment and supports mission-critical systems.
Key Responsibilities
Design, develop, and maintain scalable data pipelines and ETL solutions
Build and optimize database systems and data models for performance and reliability
Develop and maintain data solutions using cloud and big data technologies
Support data warehousing, visualization, and data integrity initiatives
Collaborate with cross-functional teams to enhance and modernize enterprise applications
Required Skills (with Years):
Complex database system development 12+ years
Databricks 8+ years
Elasticsearch and Kibana 8+ years
Python and/or Scala 8+ years
Oracle database development 8+ years
ETL processes and data pipeline development 5+ years
AWS cloud services 5+ years
Data warehousing, data visualization, and data integrity 5+ years
CMM/CMMI Level 3 methods and practices 5+ years
Agile development processes including test-driven development 5+ years
Preferred Certifications
Cloud or data engineering certifications
Agile or DevOps-related certifications
Database or big data platform certifications
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