Job Overview
Location
Reston, Virginia
Category
architecture-and-engineering
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Job Description
Job Description:
- The Data Engineering Lead will be responsible for leading a cross-functional team in designing, implementing, and managing enterprise data integration frameworks and infrastructure.
- This role requires hands-on expertise in ETL/ELT processes, data modeling, and data warehousing, with a focus on scalable, reliable, and high-performance solutions.
- The individual will also mentor team members and define best practices for data management and integration.
Essential Functions:
- Lead the team to design, configure, implement, monitor, and manage all aspects of the Data Integration Framework, defining best practices to ensure optimal performance and reliability (20%).
- Develop and maintain infrastructure systems, including data warehouses and data lakes, and prepare/manipulate data using Hadoop or equivalent MapReduce platforms (20%).
- Provide detailed guidance and perform work related to modeling data warehouse solutions in the cloud or on-premise, including Dimensional Modeling, de-normalized data structures, OLAP, and general data warehousing concepts (15%).
- Oversee delivery of engineering data initiatives and projects, supporting long-term initiatives as well as ad-hoc analyses and ELT/ETL activities.
Create frameworks for structured and unstructured data, applying extraction, transformation, and loading techniques across multiple sources (15%).
- Enforce best practices for data auditing, scalability, reliability, and application performance (15%).
- Interpret data, analyze results using statistical techniques, and provide ongoing reports and insights.
Design, manage, and conduct quality control procedures for data sets from multiple systems (10%).
- Improve data engineering knowledge by attending workshops, reviewing publications, benchmarking best practices, and participating in professional networks (5%).
Qualifications:
- Education: Bachelor s Degree in Computer Science, Information Technology, Engineering, or related field.
- Experience: Minimum 8 years of experience leading data engineering teams and implementing scalable ETL/ELT solutions.
Hands-on experience with application development, relational database layout, development, and data modeling.
- In lieu of education: An additional 4 years of relevant work experience may substitute for a degree.
Preferred Qualifications:
- Expert knowledge of at least one programming language (SQL, NoSQL, Python).
- Expert understanding of database design and implementation concepts.
- Expert knowledge of data exchange formats and data movement concepts.
- Strong technical, analytical, and problem-solving skills for troubleshooting complex issues.
- Exceptional organizational, written, and verbal communication skills, with the ability to manage multiple priorities.
- Demonstrated ability to provide direction and lead technical teams effectively.
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CYNET SYSTEMS is actively hiring for this Lead Data Engineer - Remote / Telecommute position
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