Senior Qlik Developer: Lead BI Dashboards & Data Models
ConsultNet Technology Services and Solutions
McLean (VA)
On-site
USD 90,000 - 120,000
Full time
14 days+
Application generator
A complete application in a minute — tailored resume and cover letter, ready to send.
Get past ATS filters
Job summary
A technology services firm in Virginia is seeking a Senior Qlik Developer. This role involves leading business intelligence projects, developing Qlik dashboards, and managing the full data lifecycle from ETL to visualization. The candidate should have experience with BI tools like Power BI and strong ETL pipeline skills using technologies such as SQL and Python. A Bachelor's degree in a relevant field is required, along with a strong background in data modeling and database technologies. This position promotes an inclusive workplace.
Qualifications
Bachelor's degree in a relevant field is required.
Experience in building ETL/ELT pipelines using Python, SQL, or Qlik Replicate.
Strong background in databases, data warehousing, and data modeling is necessary.
Familiarity with DevOps, Agile, and CI/CD tools is advantageous.
Responsibilities
Lead BI projects and design/develop Qlik dashboards and applications.
Build and architect data for high performance.
Develop semantic models and reports using various BI tools.
Create user documentation and training materials.
Skills
Qlik dashboard development
ETL/ELT pipeline building
Data modeling
Data visualization
SQL
Agile development
Python
Education
Bachelor's degree in Computer Science, MIS, or related field
Tools
Qlik Replicate
Informatica
Talend
Power BI
Tableau
BigQuery
RedShift
Teradata
Job description
A technology services firm in Virginia is seeking a Senior Qlik Developer. This role involves leading business intelligence projects, developing Qlik dashboards, and managing the full data lifecycle from ETL to visualization. The candidate should have experience with BI tools like Power BI and strong ETL pipeline skills using technologies such as SQL and Python. A Bachelor's degree in a relevant field is required, along with a strong background in data modeling and database technologies. This position promotes an inclusive workplace.