Visa recruiting for Data Visualisation Engineering – Cyber Security Role for Experienced & Freshmen Candidates. The job description, prerequisites, and more details are provided below.
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About Visa
Leading the way in digital payments, Visa (NYSE: V) enables transactions between customers, businesses, financial institutions, and governmental organisations in more than 200 nations and territories. Our goal is to be the greatest way to pay and be paid in order to elevate everyone, everywhere.
Visa Hiring Data Visualization Engineering Details
Job Role: Data Visualization Engineering – Cyber Security
Company Website:Â corporate.visa.com
Qualification: Any Bachelor’s degree
Batch:Â 2023 and Below
Experience: Fresher’s & Experienced
Salary: 3 – 15 LPA* (Expected)
Job Location:Â Bangalore, India
Last Date: ASAP
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Roles & Responsibilities
- Create, programme, test, and oversee the Business Solutions B2B product line from Visa.
- Participate in the modifications and improvement of the current codebase for B2B applications.
- Write code that adheres to security guidelines, design criteria, and Java/J2EE best practices.
- Assure good system performance and maintainability of the code.
- Work together on individual and group deliverables with the development and quality assurance professionals.
- Make installation and maintenance procedures and documentation.
- Assist the project team and other departments (such as network, QA, operations, and engineering) closely.
- Participate in design and code review sessions and adhere to best practices for coding and design.
- Engage with business divisions to specify needs, make necessary revisions, and create use cases so that suitable solutions may be designed.
- Quickly adjust to modifications and new application knowledge.
- Work in a fast-paced, loosely structured environment.
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Required Skills & Qualifications
- A bachelor’s degree in engineering, computer science, or a similar discipline.
- A minimum of two years’ worth of demonstrated experience in a BI, data engineering, or related function.
- Knowledge of financial services, consultancy, and shared services is very advantageous.
- It is advantageous to have certification in the fields of data warehouse/ETL, DevOps, or visualisation.
Technical Skills
- Proficiency with Tableau, Power BI, QlikView, Looker, and D3.js, among other data visualisation tools
- Proficiency with the M language, Tableau, Power Query, Data Analysis Expressions (DAX), and Level of Detail (LOD) Get ready to change data and develop measures.
- Knowledge of pipelines, data architectures, version control, and code management (CICD).
- Proficiency with SQL for handling, extracting, and combining large amounts of data through Hadoop, EMR, and NoSQL databases
- Familiarity working with data lakes and warehouses and ingesting and extracting insights from data using tools like PySpark, Apache Hadoop, Amazon Redshift, Snowflake, and Amazon S3.
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Non Technical Skills
- Knowledgeable about collaborating closely with stakeholders and cross-functional teams to guarantee that data visualisations are understood and useful.
- Keeps abreast on the most recent developments and trends in data visualisation methods and resources.
- Strong presentation skills to effectively explain data insights and visualisations to varied audiences, with the ability to customise the presentation to the audience’s level of expertise. Excellent interpersonal and communication skills for managing relationships with stakeholders.
- Capacity to efficiently plan, prioritise, and manage time; monitor assignments and due dates; uphold a neat and organised workspace; and arrange resources to meet objectives on schedule and within budget.
- Assume complete accountability for the BI projects, making sure that insights are delivered accurately and on time, and swiftly resolving any problems or errors in the data.
- Continually try new approaches, learn from past errors to streamline procedures, and concentrate on providing smooth, accurate, and efficient data analysis and reporting to guarantee faultless execution.
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