Data Engineer II Job in Pune at Mastercard

Mastercard is hiring for the role of Data Engineer II!

Responsibilities of the Candidate:

• 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.

Requirements:

• 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
• 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