Introduction:
Mastercard, a global leader in payment solutions and financial technology, is actively seeking skilled Data Engineers to join its dynamic teams across India. This is an exceptional opportunity for professionals passionate about data engineering to contribute to innovative projects that shape the future of digital payments.
Roles and Responsibilities:
As a Data Engineer at Mastercard, your responsibilities may include:
-
Data Pipeline Development: Designing, building, and maintaining scalable data pipelines to process large volumes of data efficiently.
-
Data Integration: Integrating data from various sources, ensuring data quality, consistency, and reliability.
-
Collaboration: Working closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
-
Performance Optimization: Monitoring and optimizing data workflows for performance and scalability.
-
Compliance and Security: Ensuring data handling complies with security standards and regulatory requirements.
Salary and Benefits:
Mastercard offers competitive compensation packages for Data Engineers in India. Based on available data:
-
Data Engineer: ₹10.7 Lakhs to ₹24.0 Lakhs per annum for professionals with up to 6 years of experience. AmbitionBox
-
Senior Data Engineer: ₹21.0 Lakhs to ₹37.0 Lakhs per annum for professionals with 3 to 11 years of experience. AmbitionBox
-
Lead Data Engineer: ₹20.0 Lakhs to ₹46.5 Lakhs per annum for professionals with 9 to 16 years of experience. AmbitionBox
Benefits include:
-
Health and Wellness: Comprehensive medical insurance and wellness programs.
-
Professional Development: Opportunities for career growth, training, and skill development.
-
Work-Life Balance: Flexible working hours and supportive work environment.
-
Employee Discounts: Access to Mastercard products and services at discounted rates.
Eligibility Criteria:
To be considered for the Data Engineer roles at Mastercard, candidates should meet the following criteria:
-
Educational Background: Bachelor’s or Master’s degree in Computer Science, Engineering, or related fields.
-
Experience: Relevant experience in data engineering, software development, or related areas.
-
Technical Skills: Proficiency in programming languages such as Python, Java, or Scala; experience with big data technologies like Hadoop, Spark, or Kafka; strong understanding of SQL and data modeling.
-
Soft Skills: Strong analytical abilities, effective communication skills, and a collaborative mindset.
Application Process:
Interested candidates can apply through the official Mastercard careers portal or via job listing platforms. Ensure your resume highlights relevant skills, projects, and experiences. Prepare for technical interviews that may include coding assessments and problem-solving scenarios.
Interview Process:
The interview process at Mastercard typically involves:
-
Technical Screening: Assessment of coding skills and problem-solving abilities.Indeed+2aijobs.net+2Glassdoor+2
-
System Design Interview: Evaluation of understanding of system architecture and design principles.
-
Behavioral Interview: Discussion of past experiences, teamwork, and cultural fit.
-
Final Round: Interaction with senior leadership to assess alignment with company values and vision.
Conclusion:
Joining Mastercard as a Data Engineer offers a unique opportunity to work in a dynamic environment, contributing to the development of innovative solutions in the fintech industry. With a focus on technology, collaboration, and professional growth, Mastercard provides a conducive environment for career advancement.
