Mastercard Career | Data Engineer II

Mastercard Career 2024: Hiring Freshers as Data Engineer II in Hyderabad, India. You can find more details about eligibility and the application process below.

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Mastercard Hiring Details :-

Company Name:Mastercard
Post Name:Data Engineer II
Salary: 8-13 LPA (via Glassdoor)
Degree:Bachelor’s Degree
Batch:2019/2020/2021/2022/2023/2024
Experience:Freshers(0-1yr)
Job Location:Pune, India

Key roles and responsibilities:-

  • Develop data-driven innovative analytical solutions and identifying opportunities to support business and client needs quantitatively and facilitate informed recommendations/decisions.
  • Drive the evolution of Data & Services products/platform with an impact-focused on data science and engineering. Participate in the development of data and analytic infrastructure for product development.
  • Participate in the identification and evaluation of data elements to deliver analytics for product development.
  • Innovate and determine new approaches & technologies to solve business problems and generate business insights & recommendations.
  • Partner with roles across the organization including consultants, engineering, and sales to determine the highest priority problems to solve.
  • Evaluate trade-offs between many possible analytics solutions to a problem, taking into account usability, technical feasibility, timelines, and differing stakeholder opinions to make a decision.
  • Break large solutions into smaller, releasable milestones to collect data and feedback from product managers, clients, and other stakeholders.
  • Evangelize releases to users, incorporating feedback, and tracking usage to inform future development.
  • Work with small, cross-functional teams to define vision, and establish team culture and processes.
  • Consistently focus on key drivers of organization value and prioritize operational activities accordingly.
  • Identify and act upon product improvement opportunities.

Academic qualifications :-

  • Demonstrated basic knowledge of statistical analytical techniques, coding, and data engineering
  • Experience leveraging open-source tools, predictive analytics, machine learning, Advanced Statistics, and other data techniques to perform basic analyses
  • Experience developing and configuring dashboards is a plus

Knowledge, skills and attributes:-

  • Demonstrated judgment when escalating issues to the project team
  • High proficiency in Python/Spark, Hadoop platforms & tools (Hive, Impala, Airflow, NiFi), SQL
  • Curiosity, creativity, and excitement for technology and innovation
  • Demonstrated quantitative and problem-solving abilities
  • Ability to multi-task and strong attention to detail
  • Motivation, flexibility, self-direction, and desire to thrive on small project teams
  • Outstanding communication and organizational skills
  • Superior academic record at a leading national university
  • Strong English written and verbal communication skills

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