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Urgent! Data Pipeline Manager Job Opening In India, India – Now Hiring Mastercard
Title and Summary
Manager, Data Engineer - Apache Nifi, Python, PySpark, Hadoop, Cloudera platforms, and Airflow
Who is Mastercard?
Mastercard is a global technology company in the payments industry.
Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible.
Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential.
Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company.
With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.
Overview:
The Mastercard Account Level Management (ALM) platform empowers real-time card level decisioning.
As consumers progress along their life stages as card holders, with increasing disposable income and more refined preferences, ALM provides services to issuers so they can effectively offer more relevant benefits and rewards at each stage, to drive loyalty and spend.
Role:
- Managing multiple scrum teams of Software developers and testers to develop quality software solutions in a timely and cost-effective manner.
- Successfully lead definition, development and delivery of major cross-department initiatives with broad scope and long-term business implications.
- Provide technical leadership and direction to software development teams in the development of services and capabilities, Understand, implement and enforce Software development standards and engineering principles in the Big Data space.
- Work closely with product and architecture teams on product definition, technical design, and overall execution for the team.
- Ensure the project or effort is adequately staffed;
trained and managed.
Ensure personnel have appropriate skills and behaviors;
and effectively communicate performance results;
as necessary, managing each effort within approved manpower and budget guidelines
- Technically manage and drive deliveries from scrum teams that will be responsible implementing, documenting, testing, maintaining and supporting applications in adherence with industry best practices specially in Big Data space.
- Developing high quality, secure, scalable solutions based on technical requirements specifications and design artifacts within expected time and budget.
- Work across on-premises and cloud environments (AWS, Azure, Databricks).
- Design & development of high quality data driven applications and scalable data pipelines using spark, Scala/Python/Java on Hadoop or object storage like MinIO.
- Experience of working with Databases like Oracle, Netezza and have strong SQL knowledge.
- Expertise to guide team in using SDLC tools such Git-based version control systems, CI/CD pipelines using Jenkins, Checkmarx, test automation tools etc
- Proficient in working within an Agile/Scrum framework, including creating user stories with well-defined acceptance criteria, participating in sprint planning and reviews
- Good to have experience in developing enterprise solutions (standalone applications, services & SDK) using J2EE, JDBC (SQL & NoSQL) related technologies like Spring & Spring framework, micro services on Cloud.
- Integrating content feeds via API, JSON, XML, and RSS from both internal and external sources.
- supporting internal and external users of the applications/systems, performing production incident management and participating in on-call escalation pager support rotation.
- Documenting application components for support and training materials for MasterCard Quality Assurance and Quality Control processes.
About You:
- Hands-on technical leader who brings considerable experience doing application development and managing teams by using a broad range of technologies and dives deep into everything team does.
- Demonstrate leadership, ethics and values to generate high trust with team, peers, and management.
- Must be high-energy, detail-oriented and proactive with the ability to function under pressure in an independent environment.
- Must provide the necessary skills to have a high degree of initiative and self-motivation with a willingness and ability to learn and take on challenging opportunities.
- Strong communication skills – both verbal and written – with strong relationship building, collaborative skills and organizational skills.
- Must be obsessed with results, and effectively communicate objectives and how success will be measured to the team and other stakeholders.
- Have strong decision-making skills, lead retrospection and continually improve as a result.
- Understands how to guide an engineer’s career including performance evaluation, coaching, and motivation.
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Unlock Your Data Pipeline Potential: Insight & Career Growth Guide
Real-time Data Pipeline Jobs Trends in India, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Data Pipeline in India, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 148008 jobs in India and 10384 jobs in India. This comprehensive analysis highlights market share and opportunities for professionals in Data Pipeline roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Mastercard is currently hiring and seeking a Data Pipeline Manager to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Data Pipeline Manager Jobs India.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Mastercard adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Data Pipeline Manager Jobs India varies, but the pay scale is rated "Standard" in India. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Data Pipeline Manager typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Data Pipeline Manager interview at Mastercard, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Mastercard's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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