QlikView/Qlik Sense Data Architect and Developer

Intelliswift$90K — $120K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience with QlikView and Qlik Sense
  • Advanced understanding of data modeling techniques such as Star and Snowflake Schema
  • Proficiency in creating QVDs, QVWs, and QVFs from various sources
  • Experience with REST API data extraction and incremental data loads
  • Familiarity with NPrinting for report generation in multiple formats
  • Knowledge of software development lifecycle in data analytics context

Responsibilities

  • Gather and document business user requirements
  • Identify data sources and establish connections
  • Develop, test, and implement optimized data models and extracts
  • Assist in migrating applications from QlikView to Qlik Sense
  • Follow best practices for Qlik development standards
  • Participate in daily huddles and weekly team meetings
  • Communicate project progress and adhere to timelines

Benefits

  • Flexible working hours
  • OPortunity for remote work
  • Professional development opportunities
  • Supportive team environment
  • Access to modern data analytics tools and software
Full Job Description
Job ID: 22-12559 Responsibilities:
Gather and document requirements from business users

Identify data sources and create connections

Build, test and implement optimized data extracts, data models and applications

Assist with converting QlikView applications to Qlik Sense applications

Understand and follow the development standards and best practices for Qlik development at

Attend daily huddles (Tue-Fri) and weekly team meetings online with the Operations Data and Analytics team

Adhere to project timelines and clearly communicate progress on a regular basis

Advanced experience in:

Design and development with QlikView, Qlik Sense, NPrinting and Qlik Connectors

Qlik's 3-tier architecture methodology (Data-Extraction, Data-Modeling and Application Development)

Star Schema and Snowflake Schema for Dimensional Data Modeling

Building QVDs, QVWs and QVFs using multiple source systems like Oracle, SQL Server, Excel

Extracting data from REST API data sources

Incremental data load scripts

Script functions such as Date and Time, Keep, Join, Mapping, Interval Match

Set analysis and advanced aggregation

Creating NPrinting reports, including HTML, Excel, Word, PDF and On-Demand

Migrating applications from QlikView to Qlik Sense

Troubleshooting, error handling, performance tuning and deployment of QlikView/Qlik Sense Applications

Software development life cycle including Business Requirements, Documentation, Application Design, Data Modeling, Development, Testing and Implementation

Databases and data relationships, including fact and dimension tables

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