Qlik Sense Developer

4 weeks ago


delhi, India EXL Full time
Experience - 6-10 Years
Location - Pune (Hybrid)
We are looking for a Qlik Sense & VizLib developer who can build, test and deploy a series of new front end Qlik dashboards, that will operate as the main data insights UI for our MSS Ops stakeholders. You will be working closely with our core data team in Google BigQuery to ingest prepared and calculated datasets for visualization, as well as deliver read-write and commentary capability through VizLib Collaboration extensions. You will also be working closely with our BA and UX/UI specialists to meet key design requirements with the use of VizLib Library/Mashups.
Must-Have Skills:
Excellent development experience in QlikSense, VizLib Library, and VizLib Collaboration.
Experience in building QlikSense Mashups.
Expertise in data modeling and mapping, including snowflake and star schema models in Qlik.
Proficient in data extraction, transformation, and loading (ETL) using Qlik script editor.
Skilled in Qlik Section Access, Reduce, and Reload techniques for data-level access restrictions.
Expertise in performant loading techniques, such as resident load and preceding load.
Proficient in set analysis and advanced aggregation functions.
Knowledge of IT methodologies and practices with solid experience in Agile/Scrum, DevOps, and ITIL principles.
Experience using collaboration tools such as JIRA, Confluence, and various board types.
BS/MS degree in Computer/Data Science, Engineering, or a related subject.
Excellent communication and interpersonal skills in English, with proficiency in verbal, listening, and written communication.
Enthusiastic and willing to rapidly and independently learn and develop technical and soft skills as needed.
Strong organizational and multi-tasking skills.
Good to Have Skills:
Qlik Compose and Qlik Replicate
Experience with NPrinting
Proven experience in developing, refactoring, and optimizing SQL/T-SQL procedures in BigQuery or equivalent cloud databases
Good understanding of GCP core and data products, architecting, and design patterns
Experience in web development and building UI web apps using HTML, CSS, JavaScript, etc.
Experience developing BI/MI reports and dashboards in industry tools such as Tableau, PowerBI, Looker, etc.
Skills in data preparation, wrangling, and refactoring, for example, as part of a data science pipeline
Expertise in preparing, using, visualizing, and editing data in web, dashboard, or other user interfaces (3-tier architecture, CRUD procedures, etc.)
Experience in GCP-based big data/ETL solutions in a DevOps/DataOps model
Experience with application monitoring and production support
Experience deploying and operating Datafusion/CDAP-based solutions
Experience building and operating CI/CD lifecycle management using Git, Jenkins, Groovy, Checkmarx, Nexus, SonarQube, etc.
Expertise in Java, Python, DataFlow
Broad experience with IT development and collaboration tools
Understanding of IT security and application development best practices
Understanding of and interest in various investment products and their lifecycle, and the nature of the investment banking business
Experience working with infrastructure teams to deliver the best architecture for applications
Experience working in a global team with different cultures
Responsibilities:
Build, test, and deploy QlikSense dashboard applications
Meet dashboard design specifications using VizLib Library and/or Mashups
Deliver dashboards with read-write capability through writeback tables and commentary, using VizLib Collaboration extensions
Use Qlik best practices to build fit-for-purpose apps that are performant for stakeholders
Connect to data from our Google BigQuery data warehouse and govern the ingest and data relationships within Qlik
Develop and share reusable Qlik components
Review, refine, interpret, and implement business and technical requirements
Contribute to ongoing productivity and priorities by refining user stories, epics, and backlogs in Jira
Estimate, commit, and deliver requirements to scope, quality, and time expectations
Protect the solution with appropriate authorization and authentication models, data encryption, and other security components
Manage code artifacts and CI/CD using tools like Git, Jenkins, and Google Secrets Manager
Deliver non-functional requirements, IT standards, and developer and support tools to ensure applications are secure, compliant, scalable, reliable, and cost-effective
Onboard new data sources, design, build, test, and deploy cloud data ingest pipelines, warehouses, and data models/products (GCP DataFusion, Spark, etc.)
Ensure a consistent approach to logging, monitoring, error handling, and automated recovery
Write automated unit and regression tests as part of a test-centric development approach
Write well-commented, maintainable, and self-documenting code
Fix defects and provide enhancements during the development period, and hand over knowledge, expertise, code, and support responsibilities to the support team
Protect the solution with relevant data governance, security, sovereignty, masking, and lineage capabilities
Maintain a good quality and up-to-date knowledge base, wiki, and admin pages of the solution
Peer review colleagues' changes
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