📋 Job Details at a Glance 📍 Location Bengaluru, India 🏢 Company Visa 👥 Experience 8+ years 🎓 Qualification Any Graduate 📅 Eligible Batch 2023, 2024, 2025 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Technology 🛠 Key Skills Spark Python PySpark Hive Git Tableau Power BI Staff Data Engineer at Visa — Full Details & How to Apply Visa is seeking a talented Staff Data Engineer to join its innovative team in Bengaluru, India . This role offers a unique opportunity to influence data-driven decisions within a global leader in technology. As organizations increasingly rely on data to drive strategic initiatives, the demand for skilled Staff Data Engineer jobs has never been higher. In today's data-centric world, the role of a Staff Data Engineer is crucial for organizations aiming to leverage big data for strategic advantage. As a leader in payment technology, Visa recognizes the importance of data engineering in enhancing customer experiences and operational efficiency. The ability to design and implement robust data pipelines directly impacts decision-making processes, making this position vital for driving business growth and innovation. Visa stands out as an employer due to its commitment to fostering a culture of continuous learning and collaboration. The company prioritizes innovation and technology, providing an ideal environment for a Staff Data Engineer to thrive. With access to cutting-edge tools and technologies, employees are encouraged to push boundaries and explore new solutions that can transform the payment landscape. This role is ideal for both freshers and candidates with up to 8 years of experience . Eligible candidates should hold a B.Tech, MCA, or any graduate degree and be from the 2023, 2024, 2025, and 2026 batches. Visa recruitment focuses on nurturing talent, ensuring that both new graduates and experienced professionals find ample growth opportunities within the organization. As a Staff Data Engineer at Visa , you will gain invaluable experience in designing and implementing cloud architecture and developing production-grade Java applications. You'll also work within Agile workflows , collaborating with cross-functional teams to enhance Visa's analytics capabilities. This role not only allows you to contribute to impactful projects but also equips you with skills that are highly sought after in the tech industry. NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting, ensuring that you have the most accurate information to apply online and take the next step in your career with Visa . Job Role & Responsibilities The role of a Staff Data Engineer at Visa is pivotal in shaping the data landscape, enabling the organization to leverage data for strategic decision-making. This position focuses on designing and implementing robust data pipelines that ensure data integrity and availability for analytics and reporting needs. Design and implement scalable data pipelines that support Visa's analytics and reporting needs, ensuring data integrity and availability. Utilize technologies such as Spark , Python , and PySpark to process large datasets efficiently, enabling real-time data analysis. Collaborate with cross-functional teams , including data scientists and business analysts, to understand data requirements and deliver effective solutions. Monitor and optimize data workflows , ensuring high performance and reliability while tracking key metrics to measure success. Take ownership of data engineering projects , leading initiatives that enhance data accessibility and usability across the organization. Document data processes and workflows to facilitate knowledge sharing and ensure compliance with data governance standards. Innovate and troubleshoot data-related challenges , leveraging advanced problem-solving skills to enhance Visa's data capabilities. Conduct regular data quality assessments to ensure the accuracy and reliability of datasets used across various analytics platforms. Implement best practices in data security and governance to protect sensitive information and maintain compliance with industry standards. This role embodies an ownership culture, empowering you to lead initiatives that significantly impact Visa's data strategy and overall business performance. Required Skills & Technical Competencies The ideal candidate for the Staff Data Engineer position at Visa should possess a robust skill profile that combines technical expertise with strong analytical capabilities. This role demands proficiency in various data processing technologies to effectively manage and analyze large datasets. Technical Skills Spark (Advanced) — essential for processing large datasets and building high-performance data pipelines. Python (Expert) — crucial for scripting and automating data tasks, enabling efficient data manipulation and analysis. PySpark (Advanced) — extensively used for distributed data processing, ensuring scalability and performance. Hive (Intermediate) — important for managing and querying large datasets effectively within data warehousing environments. Git (Proficient) — required for version control and collaboration on data engineering projects. Tableau (Intermediate) — utilized for data visualization, helping stakeholders gain insights from complex datasets. Power BI (Intermediate) — used for creating interactive reports and dashboards to support data-driven decision-making. Soft Skills & Professional Competencies Effective communication — vital for collaborating with diverse teams and stakeholders to understand data requirements. Teamwork — essential for working collaboratively within cross-functional teams to deliver data solutions. Analytical thinking — necessary for interpreting complex data and deriving actionable insights. Time management — important for prioritizing tasks and meeting project deadlines in a fast-paced environment. Good to Have (Bonus) Data engineering certifications — such as those from recognized platforms, enhancing credibility in the field. Experience with cloud platforms — familiarity with AWS or Azure can be beneficial for data storage and processing. Knowledge of machine learning concepts — understanding how data engineering supports machine learning initiatives. To effectively showcase these skills in your resume or during an interview for the Staff Data Engineer role at Visa , focus on specific projects and experiences that highlight your technical competencies and problem-solving abilities. Eligibility Criteria This role is designed for experienced professionals who are ready to take on significant responsibilities in data engineering. Candidates should have a strong foundation in data technologies and a proven track record of delivering impactful data solutions. Candidates must hold a degree in any field , with a preference for those with a background in Computer Science , Engineering , or related disciplines. Eligible batches include 2023, 2024, and 2025 , targeting recent graduates eager to start their careers in data engineering. Candidates should have a minimum of 8 years of relevant experience , ensuring they bring substantial expertise to the role. A strong academic performance is preferred, with a CGPA of 7.5 or above being advantageous. Having relevant certifications in data engineering or a portfolio showcasing projects on platforms like GitHub will strengthen the application. Prior internship or hands-on project experience is a strong advantage. Documentation & Portfolio Requirements Prepare a comprehensive resume that highlights your relevant experience and skills. Include a GitHub portfolio showcasing your projects, as well as any certifications related to data engineering. Pro Tip: Tailor your application to emphasize your experience with Spark and Python , as these are critical for the Staff Data Engineer role at Visa . Salary & Benefits 💰 Compensation Not Disclosed The compensation philosophy at Visa for the role of Staff Data Engineer emphasizes providing a competitive salary that aligns with industry standards, ensuring that employees are rewarded for their contributions and expertise. While specific salary details are not disclosed, Visa is recognized for offering comprehensive benefits that support employee well-being and professional growth. What Your CTC Could Include Health Insurance — comprehensive coverage for employee and family worth ₹5 lakh annually Retirement Benefits — attractive provident fund contributions to secure your future Performance Bonuses — annual bonuses based on individual and company performance Paid Time Off — generous leave policy including vacation, sick leave, and holidays Flexible Work Arrangements — options for hybrid or remote work to promote work-life balance Additional Perks & Benefits Annual Learning Budget — up to ₹25,000 per year for certifications, courses, and conferences Meal Allowance — daily allowances to support your lunch and snacks Transportation Subsidy — financial support for commuting costs Stock Options — opportunity to own a part of Visa through equity options Employee Wellness Programs — initiatives focused on mental and physical health Career Progression & Salary Growth At Visa , career progression is supported through structured promotion timelines, with annual performance appraisals that typically result in a salary increase of 5-10% based on performance. Employees are encouraged to pursue internal mobility opportunities, ensuring that growth is not only possible but also actively promoted within the organization. NexisGrow.com tip: When negotiating your salary, emphasize your unique skills and experiences that align with Visa's goals, and be prepared to discuss your contributions to previous projects. Selection Process The hiring philosophy at Visa focuses on identifying candidates who not only possess the necessary technical skills for the Staff Data Engineer role but also align with the company’s core values and culture. The selection process is designed to be thorough yet efficient, ensuring that the best candidates are chosen. 1 Round 1: Resume Screening — Initial screening of resumes and applications to shortlist candidates based on qualifications and experience. 2 Round 2: Technical Interview — A focused interview assessing data engineering skills, including coding assessments and problem-solving scenarios. 3 Round 3: Behavioral Interview — Evaluation of cultural fit and alignment with Visa's values and mission. 4 Final Stage: Offer Presentation — Presentation of the job offer followed by a background check process to ensure candidate suitability. What Each Round Tests Round 1 assesses your qualifications and relevant experience. Round 2 focuses on your technical abilities in data engineering, while Round 3 evaluates your soft skills and cultural fit within Visa . Timeline & Expectations The entire selection process typically takes 4-6 weeks from application submission to final offer. Candidates can expect timely communication regarding their application status and next steps throughout the process. Interview Prep Tip: Familiarize yourself with common data engineering challenges and be ready to discuss your past projects in detail, as Visa values practical experience. How to Apply for Staff Data Engineer at Visa Apply Now — Visa Create Your Profile — Visit the Visa job portal and create your profile to begin the application process. Upload Your Resume — Highlight your relevant experience and skills in data engineering, ensuring to tailor it for the Staff Data Engineer role. Fill in the Application Form — Complete all required fields accurately, providing detailed information about your qualifications. Track Your Application — After submission, monitor your email for a confirmation regarding your application status. Prepare for Interviews — Begin preparing for the interview rounds as you await feedback from the hiring team. Resume & Profile Tips for This Role Highlight Relevant Experience — Focus on your experience with data engineering projects and technologies. Showcase Technical Skills — Emphasize your proficiency in Python , SQL , and other relevant tools. Demonstrate Problem-Solving Abilities — Include examples of how you’ve tackled complex engineering challenges. Include Certifications — Mention any relevant certifications that enhance your qualifications for the role. Note: Applications are reviewed on a rolling basis, so early submission is encouraged to increase your chances. Apply Now — Official Link NexisGrow.com does not charge any fees for job applications. Frequently Asked Questions Interview · Role · Salary · Growth ? What are the eligibility criteria for the Staff Data Engineer role at Visa? Eligibility Tap to expand + Answer Candidates must have a degree in any field, with a preference for technical disciplines. Eligible batches include 2023, 2024, and 2025, targeting those with 8+ years of experience. ? What is the interview process for Staff Data Engineer at Visa? Interview Tap to expand + Answer The process includes an initial resume screening, followed by a technical interview assessing data engineering skills, and a behavioral interview to evaluate cultural fit. ? What technologies and tools will I work with? Tech Stack Tap to expand + Answer The primary tech stack includes Spark, Python, PySpark, and Hive, used for building and optimizing data pipelines and workflows. ? What is the salary and compensation for this role? Salary Tap to expand + Answer Salary details are not disclosed, but Visa offers competitive packages with growth potential and performance bonuses. ? Is this role work from home, hybrid, or onsite? Work Mode Tap to expand + Answer This role is based in Bengaluru, with options for hybrid work arrangements depending on team needs. ? What is the career growth path after joining Visa as a Staff Data Engineer? Growth Tap to expand + Answer Career growth includes structured promotion timelines and opportunities for internal mobility within various teams and projects. ? How should I prepare for the Staff Data Engineer interview at Visa? Preparation Tap to expand + Answer Prepare by reviewing data engineering concepts, practicing coding problems, and familiarizing yourself with Visa's technologies and culture. ? How do I apply and what documents are needed? Application Tap to expand + Answer Apply through the official career link, ensuring your resume highlights relevant experience and skills specific to data engineering. ? Is there a probation period and what does it involve? Probation Tap to expand + Answer Yes, there is typically a probation period of 3-6 months, during which performance is evaluated to ensure a good fit. ? What is the work culture like at Visa? Culture Tap to expand + Answer Visa's culture emphasizes collaboration, diversity, and continuous learning, creating an environment where employees can thrive and innovate. Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com