QLIK Engineer

Key Skills

• Analytical thinking, Innovation and Collaboration
• Experience with AWS cloud infrastructure, orchestration, and automation
• Experience with AWS, Lambda, AWS networking and AWS services
• Coding skills in Python, Java, SQL and Power Shell
• Understanding of how data is being used - Data Models, Metrics, Qlik BI tools, Excel (from CVS files to pivot tables)
• Experience building interactive dashboards from multiple disparate data sources
• Experience in managing data and transformations of large and diverse datasets
• Experience with Oracle, Postgres, SQL Server, DynamoDB
• Experience with Qlik Sense Training including train-the-trainer approaches
• Experienced Qlik Sense Developer with a variety of private industry and government
• Expert level skills on Qlik Sense and Nprinting development
• Expert level skills on Qlik Embedded Analytics
• Expert level skill in integrating data using Qlik Sense
• Expert level skill in Dashboard UX design (layouts, integrating maps, color schemes, etc.)
• Experience in Data modelling associative and relational
• Experience in Star Schema/Snowflake modeling, FACT & Dimensions tables
• Extensive use of SQL RDBMS (SQL Server, No
  
  Sql, Oracle, Postgres, etc.), Data warehouse, Data Lakes & Big data systems
• Expert level skills with performance tuning Qlik Sense Applications
• Expert level skills with Qlik Sense administration

• Bachelors degree in programming/systems or computer science, specialized training, certification, or proven equivalent work experience.
• 6 years of programming/systems analysis/data management experience.
• 3 years developing solutions in QLIK
• Broad level of understanding surrounding information systems, dashboard designs and data summarization.
• Knowledge of distributed system architecture and concepts

Note:

An equivalent combination of education and job specific experience that provided the knowledge, experience and competencies required to successfully perform the job at the level listed may be substituted on a year-over-year basis.

Preference will be given to candidates who demonstrate some or all of the following skills/experience:

• Managing AWS cloud infrastructure, orchestration, and automation
• Knowledge of Integrated Environments for databases (Toad, SQL Developer, DBArtisan, etc.).
• Familiarity with query, markup and modeling languages (SQL, HTML, XML, JSON, UML, etc.).
• Familiarity with networking
• Knowledge of integration standards and best practices
• Experience in gathering, analyzing and preparing functional requirements
• Testing, troubleshooting, and implementation background