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Urgent! Lead Data Engineer - Remote / Telecommute Job Opening In Reston Virginia – Now Hiring CYNET SYSTEMS

Lead Data Engineer Remote / Telecommute



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.





Required Skill Profession

Architecture And Engineering



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