Company Name: Visa
Job Role: Data Engineer
Experience: Freshers/Exp
Qualification: Bachelor Degree
Job Type: Full Time
Job Location: Bangalore
Salary: Best in Industry
Job Description:
Responsibilities of the Candidate:
- Work collaboratively with Data Analyst, Data Scientists Software Engineers and cross-functional partners to design and deploy data pipelines to deliver analytical solution.
- Responsible for building data pipelines, data model, data marts, data warehouse including OLAP cube in multidimensional data model with proficiency / conceptual understanding of PySpark and SQL scripting.
- Responsible for the design, development, testing, implementation and support functional semantic data marts using various modeling techniques from underlying data stores/data warehouse and facilitate Business Intelligence Data Solutions
- Experience in building reports, dashboards, scorecards & visualization using Tableau/ Power BI and other data analysis techniques to collect, explore, and extract insights from structured and unstructured data.
- Responsible for AI/ML model Utilizing machine learning, statistical methods, data mining, forecasting and predictive modeling techniques.
- Following Dev Ops Model, Agile implementation, CICD method of deployment & JIRA creation / management for projects.
- Define and build technical/data documentation and experience with code version control systems (for e.g., git).
- Assist owner with periodic evaluation of next generation & modernization of platform.
- Exhibit Leadership Principles such as Accountability & Ownership of High Standards:
- Given the criticality & sensitivity of data . Customer Focus : Going Above & Beyond in finding innovative solution and product to best serve the business needs and there-by Visa.
Requirements:
- Bachelors degree or
- 0.6-1.6 years of work experience with a Bachelor’s Degree or Master’s
- Degree in computer / information science with relevant work experience in IT industry
- Enthusiastic, energetic and self-learning candidates with loads of curiosity and flexibility.
- Proven hands-on capability in the development of data pipelines and data engineering.
- Experience in creating data-driven business solutions and solving data problems using technologies such as Hadoop, Hive, and Spark.
- Ability to program in one or more scripting languages such as Python and one or more programming languages such as Java or Scala.
- Familiarity with AI-centric libraries like TensorFlow, PyTorch, and Keras.
- Familiarity with machine learning algorithms and statistical models is beneficial.
- Critical ability to interpret complex data and provide actionable insights. This encompasses statistical analysis, predictive modeling, and data visualization.
- Extended experience in Agile Release Management practices, governance, and planning.
- Strong leadership skills with demonstrated ability to lead global, cross-functional teams.
Visa Recruitment For Freshers Apply Link: | Apply Here |
Tips for Attending Walk-In Interviews
Walk-in interviews are a golden opportunity for jobseekers to secure a job without the long wait of traditional interview processes. However, with many candidates competing for the same position, it's crucial to make a strong and positive impression. Here are some valuable tips to help you stand out and succeed in your next walk-in interview.
1. Do Your Homework
Even though walk-ins are often spontaneous, take time to research the company, its services, and the role you're applying for. This shows your genuine interest and helps you tailor your responses effectively.
2. Dress Professionally
Your appearance matters. Wear neat, formal attire that suits the job role. Clean shoes, groomed hair, and minimal accessories reflect your seriousness and professionalism.
3. Carry All Necessary Documents
- Updated Resume (Multiple Copies)
- Passport Size Photographs
- Educational Certificates
- Experience Letters (if any)
- Valid ID Proof
4. Be Punctual
Arriving early gives you time to settle in, observe the environment, and be mentally prepared. It also shows that you value the interviewer’s time.
5. Practice Your Pitch
Prepare a short and effective self-introduction. Be clear about your skills, career goals, and how you can add value to the company.
6. Stay Confident & Courteous
Maintain eye contact, offer a firm handshake, and listen actively. Confidence, without arrogance, creates a positive impression.
7. Follow Up
If you’re given a business card or email, don’t forget to send a thank-you message. It reflects professionalism and interest in the role.
By following these simple yet powerful tips, you can improve your chances of converting walk-in interviews into job offers. Good luck on your career journey!