Database Engineer II Job in O'Fallon | Yulys
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Job Title: Database Engineer II

Company Name: Mastercard
Salary: USD 41.00
-
USD 53.00
Job Industry: Computer Networking
Job Type: Full time
WorkPlace Type: On-Site
Location: O'Fallon, Missouri, United States
Job Description:

We work 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. We cultivate a

culture of inclusion

for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation and delivers better business results.

Title and Summary

Database Engineer IIOverview:

As a Database Engineer in the Mastercard Data & Services Technologies team, you will play a valuable role within a successful and rapidly growing business unit, working closely with experienced and motivated engineers to solve challenging problems. You will also provide world-class support and expertise to all of MasterCard’s Big Data environments, represent MasterCard’s Big Data Engineering team as a subject matter expert, support MasterCard’s present Big Data infrastructures, and integrate new technologies and platforms into current environments as technologies evolve and demands change.

Position Responsibilities:

  • Work directly with application and development teams to completely understand all requirements for project and ad hoc requests and provide accurate estimates
  • Design, deploy, and maintain database systems, ensuring high availability, scalability, and security
  • Participate in a team of technical subject matter experts that provides 24x7 operational support of mission-critical Big Data environments for highly available and contingent platforms
  • Develop and maintain data ingestion pipelines, ensuring the smooth and efficient flow of data from various sources into the Big Data ecosystem
  • Work with team to design efficient data models and optimize data structures for fast and accurate data processing
  • Monitor and optimize the performance of Big Data systems, identifying and addressing performance bottlenecks to ensure optimal data processing speed
  • Implement and enforce data security and governance policies to protect sensitive data and ensure compliance with industry standards and regulations
  • Establish and maintain data quality standards, performing data profiling and validation to ensure data accuracy and integrity
  • Educate peers and cross-train teammates with Big Data concepts and application of technology to serve business needs
  • Interact with managed services resources and direct maintenance and operational support activities per MasterCard standards and industry best-practices
  • Additional tasks as required


All About You:

  • Minimum of 4 years of experience as a Database Engineer or similar role, with a focus on Big Data technologies and platforms
  • Strong knowledge of Hadoop platforms and other distributed data processing platforms
  • Strong understanding of Linux operating systems and Shell Scripting
  • Solid programming skills in SQL and scripting languages
  • Strong understanding of data modeling, data structures, and database optimization techniques for Big Data platforms
  • Strong problem-solving and analytical skills, with the ability to troubleshoot complex data-related issues
  • Proficiency in programming languages such as Java, Python, or Scala for Big Data processing. Preferably Java
  • Familiarity with data security, encryption, and access control mechanisms in Big Data environments
  • Experience working with cross-functional teams, including data scientists, software engineers, and business analysts, to drive data-driven initiatives and projects
  • Experience on programming infrastructure management or automation tools is a plus.

Knowledge in statistics and machine learning is a plus

  • Background in ETL and practical experience dealing with large ETL pipelines is a plus
  • Advanced data warehousing and MPP knowledge is a plus
  • Excellent communication and teamwork skills, with the ability to collaborate effectively with technical and non-technical stakeholders
  • Bachelor's degree in Computer Science, Information Technology, or related field


#LI-JN1
#LI-HYBRIDIn the US, Mastercard is an inclusive Equal Employment Opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. If you require accommodations or assistance to complete the online application process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.

Corporate Security Responsibility


All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

  • Abide by Mastercard’s security policies and practices;

  • Ensure the confidentiality and integrity of the information being accessed;

  • Report any suspected information security violation or breach, and

  • Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

 

 

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