As one of the leading BI technology, Qlik Sense provides job opportunities in many areas and under varying titles. the most job types and titles are Qlik Sense BI Analyst, Qlik Sense Developer/Programmer, Data Architect, Data Scientist, Technical Consultant etc. there’s a group of responsibilities that come along side each of the mentioned job title.

Let us discuss the key responsibilities of a Qlik Sense Developer.

• Hands on experience in Qlik Sense development, dashboarding and data modelling and reporting (ad hoc report generation) techniques.
• Must be good at Data transformation, the creation of QVD files and set analysis.
• Experienced in application designing, architecting, development and deployment using Qlik Sense. Must be efficient in front-end development and know visualization best practices.
• Strong database designing and SQL skills. Experienced in RDMS like MS SQL Server, Oracle etc.
• Strong communication skills (verbal/written) to deliver the technical insights and interpret the info reports to the clients. Also helps in understanding and serving to the client’s requirements.
• Leadership qualities and thoughtful implementation of Qlik Sense best practices so as to deliver effective Qlik Sense solutions to the users.
• Able to grasp and translate complex and advanced functional, technical and business requirements into executable architectural designs.
• Creating and maintaining technical documentation.
• Experienced in data integration through extracting, transforming and loading (ETL) data from various sources.

i. Skillset for Qlik Sense Developer

• GUI development
• Shell scripting
• Integration
• Reporting
• Information Management
• SQL and RDMS
• Problem solving and troubleshooting

Qlik Sense Developer: Requirements and Qualifications

Now allow us to have a glance at what are the prerequisites for landing an honest job as a Qlik Sense Developer.
• 1-3 years of experience as a BI/DW professional or Qlik Sense Developer.
• Qlik Sense certification.
• Bachelor’s degree (BE/B.TECH) in computing , MIS or related qualification. A master’s degree is usually helpful.
• A strong analytical and logical mindset is far appreciated.
• Well-versed with concepts and techniques of Business Intelligence and Data Warehousing.
• Must be conversant in a project’s complete life cycle implementation of a minimum of 1 to 2 projects.
• Skilled in Qlik Sense web integration, advanced SQL knowledge, Stored Procs, SQL scripting, nested selection, stored procedures, triggers, analytic functions, tuning etc.

Qlik Sense Developer Salary

On a mean , a Qlik Sense professional with an experience of 2-5 years ranges from $69,500 once a year for a knowledge analyst to $1,28,000 once a year for a knowledge scientist.
The salary for Qlik Sense Developers within the USA ranges from $122,850 per annum for beginners, while most experienced workers structure to $149,175 per annum . Thus, the typical falls on the brink of $1,36,500 for a well experienced professional.
Whereas in India, the typical salary of a Qlik Sense Developer is Rs. 8,50,000 once a year .

What is Qlik Associative Big Data Index?

You must remember of the Qlik Associative Indexing Engine (QIX Engine) which functions as a core of all Qlik BI related tools especially Qlik Sense and QlikView. The associative indexing engine structures the info coming from different data sources and forms associations between them logically. This capability of Qlik expands to index and associate big data from varied sources. This new technology is termed as Qlik Associative Big Data Index engine (ABDI Engine).
It is a governed, high-performance, incremental and associative indexing engine which is released by Qlik in 2018 as a services-led offering (an EAP) and requires purchasing alongside the most Qlik Sense package. The key capabilities of the ABDI engine are:
• It can deploy with an enormous data storing environment like Cloudera, Apache Spark, Hadoop databases etc.
• Highly scalable and may deploy across multiple nodes during a cluster. The functionality distributes across the nodes in both on-premise and cloud-based environment.
• A script within the data load editor generates automatically to access the info index through an ABDI connector.
• It supports data requesting and delivery from ODAG apps.
• The ABDI engine is capable of querying data directly from data sources like data lakes, etc.
• The Qlik ABDI index is powered by Qlik Selection Language (QSL) which may be a high-speed selection language wont to extract data from the index.

Types of Qlik Sense Certifications

There three sorts of certifications available in Qlik Sense:
i. Qlik Sense Business Analyst
ii. Qlik Sense Data Architect
iii. Qlik Sense supervisor
We will discuss each of them intimately within the sections to follow.

Qlik Sense Business Analyst

Aim of Exam
A Qlik Sense business analyst exam tests a candidate’s ability to research data by preparing and loading data into QS apps, identify requirements, design and develop applications etc.
Note: This Qlik Sense certification exam has 50 inquiries to attempt in 2 hours’ time. it’s supported the June 2018 release of Qlik Sense.
Exam Prerequisites
Before taking this Qlik Sense certification exam, a candidate should be good within the following skills:
• Developing production quality apps.
• Creating dimensions, objects, and measures for the master library.
• Well-versed with best design practices.
• Visualizations and interface design experience.
Topics Covered in Exam
• Identifying requirements: Benefits of features like smart search, responsive design, selection color schemes, APIs, extensions, web mashups, bookmarks, and stories; evaluation of business requirements of feasibility; identifying KPIs, measures, and dimensions supported requirements; security options selections supported business requirements.
• Designing applications: Determining visualizations, sheets, and methods to satisfy the business requirements; selection of sheet order to simple flow of logic in an app.
• Preparing and loading data: Planning and creating a knowledge model from data manager; troubleshooting basic data modeling issues and identifying data sources supported the business requirements.
• Developing applications: Creating applications using visualizations and style tools; using dimensions, master items and calculated fields supported the design; implementing calculations within apps; building bookmarks and stories; editing capabilities in published and unpublished apps and Identifying the source of rendering issues in applications.
Given below is that the topic wise weightage of the exam:

Topics	Weightage
Identifying requirements	20%
Designing applications	22%
Preparing and loading data	18%
Developing applications	40%

Qlik Sense Data Architect

Aim of Exam
The data architect certification exam tests a candidate’s ability to work out appropriated requirements for data modeling, designing and building data models, and data validation.
Note: This Qlik Sense certification exam has 50 inquiries to attempt in 2 hours’ time. it’s supported the June 2018 release of Qlik Sense.
Exam Prerequisites
Before taking this Qlik Sense certification exam, a candidate should be good within the following skills:
Developed a minimum of two production quality applications in Qlik Sense.
• Data validation and cargo script writing.
• Good understanding of Extract-Transform-Load (ETL).
• Using Qlik connectors to attach to data sources.
• Good understanding of Qlik’s architecture and QVD layer.
• Data architecting for optimal performance.
• SQL and relational databases
Topics Covered in Exam
• Identifying requirements for data models: Determining data load and refreshing requirements for multiple data sources, tiered architecture etc.; identifying proper features like master items, ODAG, GeoAnalytics, associative data model as per the customer’s need; identification of proper security requirements.
• Design data models: Deciding appropriate data models (reusing, scalability, efficiency) as per the customer needs; tiered architecture and data governance; using calendars, set analysis, flags, functions and managing complex scenarios.
• Build data models: Creating data models; using join, keep, resident load, where clause, incremental load, variables, purge strategy; security management using section access; data transformation; using Qlik Converter (for conversion of QlikView documents to Qlik Sense apps) and using data connections.
• Data validation: Validating data against source information; resolving data modeling issues like circular references, synthetic keys, debugging, scripting errors etc.; resolving data issues like format , null values etc.
Given below is that the weightage of every topic within the exam:

Topics	Weightage
Identifying requirements for data models	16%
Design data models	28%
Build data models	34%
Data validation	22%

Qlik Sense supervisor

Aim of Exam
The Qlik Sense supervisor certification tests your caliber in areas just like the Qlik Sense environment, installation and setup of Qlik Sense Enterprise, environment management, monitoring, and troubleshooting.
Note: This Qlik Sense certification exam has 50 inquiries to attempt in 2 hours’ time. it’s supported the June 2018 release of Qlik Sense
Exam Prerequisites
Before taking this Qlik Sense certification exam, a candidate should be good within the following skills:
• Experience as an administrator of a Microsoft Windows Server-based environment of a minimum of 6 months is required.
• Experience in data providing, application governance, library maintenance, and application security.
• Know the way to work with the Qlik Management Console and Qlik Sense sites.
• Policy management to run Qlik Sense servers and apps.
• Managing visualization streams and creating rules.
• Familiar with active directory configuration, proxies, intermediate web servers, load balancers, Windows tools and logs like Event Viewer, Services Console, DCOM Console and Windows Registry.
• Familiar with NSLookUp, Telnet, Ping, NetStat, Fiddler, and other browser tools to troubleshoot connectivity, interoperability, configuration, performance, etc.
Topics Covered in Exam
• Requirement identification for Qlik Sense Environment: Data source access; evaluating environment options; network access configuration; authentication and authorization methods supported user requirements.
• Installation and setup for Qlik Sense Enterprise: user access configuration; user directory connectors configuration; scheduling synchronizations; Qlik Sense proxy configuration; loading and organizing apps into streams; deploying single and multi-node architectures; determining scheduler task.
• Environment management: Task configuration; load balancing configuration; data connector configuration; managing content libraries; installing and managing extensions; backup and restore procedures; security rules.
• Troubleshooting and monitoring the environment: monitoring tools and logs; troubleshooting environments; Using the audit functionality; cause finding for Qlik Sense Environments issues.
Provided below, is that the weightage of every topic within the exam:

Topic	Weightage
Requirement identification for Qlik Sense Environment	14%
Installation and setup for Qlik Sense Enterprise	26%
Environment management	40%
Troubleshooting and monitoring the environment	20%

So, this brings us to the end of blog. This Tecklearn ‘Qlik Sense Developer – Roles and Responsibilities’ blog helps you with commonly asked questions if you are looking out for a job in Qlik Sense BI. If you wish to learn Qlik Sense and build a career in Business Intelligence domain, then check out our interactive, Qlik Sense Certification Training, that comes with 24*7 support to guide you throughout your learning period. Please find the link for course details:

https://www.tecklearn.com/course/qlik-sense-certification-training/

Qlik Sense Certification Training

About the Course

Qlik Sense is a revolutionary Business Analytics tool to come from the Qlik stables. It provides powerful self-service analytics that are readily deployable through interactive and personalized dashboards, data visualization techniques and insightful reports. By the end of this Qlik Sense online training, you will be able to perform key skills of the self-service BI tool – Qlik Sense, such as self-service analytics, write data load scripts, data discovery, create dashboards, develop and share apps, create reports, and design and build data visualizations. All these skills will enable you to clear the Qlik Sense certification exam.

Why should you take Qlik Sense Training?

The average annual pay for a Qlik Sense Professional is $101,871. -Indeed.com.
HSBC, Alstom, Chrysler, Citibank, Accenture and many other MNC’s worldwide use Qlik Sense BI and it has a market share of around 5% globally.
By the end of 2020, the market is expected to touch USD 22.8 billion as modern BI and analytics continue to expand more rapidly, Gartner said in a report.

What you will Learn in this Course?

Introduction and Installation of Qlik Sense

Need for self-service Business Intelligence/Business Analytics
Installation of Qlik Sense and Qlik Sense Desktop

Qlik Sense Features

Qlik Data indexing engine
Data dimensions relationships
Types of Data Loading
Types of Concatenation

Data Modelling

Qlik Sense data architecture
Understanding QVD layer
Converting QlikView files to Qlik Sense files
Incremental Load
Scripting
Create Master Calendar

Advance Data Modelling

Qualify and unqualify
Joins
Keep
Cross Table
Let Vs Set
Calendar Table Creation

Qlik Sense Enterprise

Various Functions
Create QVD Files
Read Data for QVD Files
Create QVD’s
Create Tier 2 Qlik Sense App

Data Visualization

Expressions
Variables
Extensions
Data Visualization

Set Analysis

Set analysis in Qlik Sense
Use set expression like identifiers, operators, modifiers and comparative analysis

Advance Set Analysis

Deploy comparison sets and perform point-in-time analysis

Qlik Sense Storytelling

Storytelling feature of Qlik Sense
Create a story and playback the story

Qlik Sense Visualization

Qlik Sense Charts
Advanced Charts
Creating Dashboards
Real Life Examples

Security

Security aspects of Qlik Sense
Security rules

Got a question for us? Please mention it in the comments section and we will get back to you.

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