Mastercard Job Opportunities in Pune | Apply Right Now

Mastercard Job Opportunities: Mastercard is hiring a Senior Data Engineer to design, develop, and optimize data pipelines and architectures. The role entails running with large datasets, ensuring records are best, and participating with pass-purposeful groups. Candidates have to have expertise in information engineering, SQL, cloud systems, and programming languages like Python or Java.

• Job Description: Mastercard Job Opportunities 
• Company: Mastercard
• Salary: Not Disclosed
• Qualification: Bachelor’s Degree
• Location: Pune, India
• Employment Type: Full-Time, Permanent

About Company:

Mastercard is a global bills-era company that connects companies, customers, financial establishments, and governments to allow steady, efficient transactions. With a focal point on innovation, Mastercard offers a wide variety of payment solutions, along with credit, debit, prepaid playing cards, and digital payment systems. The employer is committed to economic inclusion, sustainability, and leveraging contemporary technology like AI and blockchain to enhance the worldwide bills environment. Headquartered in Purchase, New York, Mastercard operates in over 210 nations and territories internationally.

Mastercard Job Opportunities Job Description:

The Senior Data Engineer at Mastercard leads and implements large-scale ETL processes, ensuring efficient data integration and transformation within the Test & Learn platform. This role involves managing client data, delivering robust data solutions, mentoring junior engineers, and collaborating with global teams. Expertise in SQL Server, SSIS, Python, and cloud-based environments is required for success.

Role and Responsibilities:

Project Leadership: Led and managed tasks independently, making sure of the successful layout and implementation of strong, scalable, and green corporation ETL (Extract, Transform, Load) tactics. The projects are predicted to cater to international clients, leveraging large facts analytics for business improvement.

Data Solutions Delivery: Deliver on-time, correct, and excessive-value data answers throughout a couple of clients and industries, making sure the robustness of statistics workflows and easy integration of business experiments in the Test & Learn platform.

Technical Expertise: Serve as a technical expert within the group, presenting steering on great practices, conducting code critiques, and making sure proper validation and checking out of records products. 

Quality Assurance and Innovation: Apply enterprise best practices in source control, code evaluations, facts validation, and checking out. Innovate and assume seriously to interrupt complicated problems, imparting oversight and ensuring brilliant work from each person and team contributions.

Mentorship and Team Management: Oversee the activities of statistics engineers, making sure that they comply with first-rate practices and execute their duties correctly. Provide mentorship to junior engineers, helping them improve their technical and career abilties.

Compliance and Security: Uphold Mastercard’s inner guidelines and outside regulations, making sure statistics are safe and confidential. This consists of abiding by the business enterprise’s security practices and completing mandatory safety education as part of compliance with Mastercard’s recommendations.

Skills and Qualifications:

Educational Background:

• Bachelor’s Degree (BE/BTech) in a quantitative field such as Computer Science, Statistics, Engineering, Mathematics, Econometrics, or Operations Research.
• Master’s Degree (ME/MTech) is preferred but not mandatory.

Technical Expertise:

• Proficiency in Relational Database Management Systems (RDBMS) technologies, especially Microsoft SQL Server and SSIS (SQL Server Integration Services).
• Strong information in ETL processes, making sure the smooth transformation and integration of big-scale records.
• Hands-on experience with scripting languages such as VB Script, Perl, or Python, critical for automating information pipelines and constructing statistics workflows.

Experience:

• 3 to 11 years of experience in data engineering or related fields, with proven leadership capabilities in managing large-scale data projects for global clients.
• Experience working in a cloud-based environment is highly desirable.
• Previous experience in delivering solutions using Test & Learn platforms or other business analytics tools is a plus.

Soft Skills:

Communication: Excellent written and verbal communication skills in English. The capacity to articulate complex technical solutions virtually to non-technical stakeholders is vital.

Leadership: Demonstrated capability to control and mentor junior engineers, supplying guidance, oversight, and overall performance opinions to ensure crew growth and efficiency.

Problem-Solving: Strong analytical and trouble-fixing competencies, with the potential to disaggregate complicated issues and broaden modern answers.

Collaboration: Ability to work correctly throughout a couple of time zones and with diverse teams, building sturdy relationships with clients and friends globally.

Adaptability: Ability to manage and prioritize more than one project, balancing business, technical, and information control desires to supply great answers.

Benefits at Mastercard:

Comprehensive Health Coverage: Mastercard offers clinical, dental, imaginative, and prescient plans, together with mental fitness aid and wellness sources.

Retirement and Financial Planning: Employees have to get entry to 401(okay) plans, company contributions, and economic advisory services.

Professional Development: Mastercard provides getting-to-know and professional boom opportunities, which include education, mentorship, and lessons repayment programs.

Click Here To Apply Online

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