Master Card Recruitment For Data/ML Engineer, Job for Freshers

Mastercard is currently seeking candidates for the role of Data Engineer, with a lucrative salary package of approximately ₹18 lakh per year. Interested job seekers are urged to carefully review the complete job description. Don’t miss out on this exciting opportunity to join Mastercard’s team as a Data Engineer.

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About Mastercard

Mastercard is a global technology company renowned for operating the world’s fastest payments processing network. We catalyze commerce, bridging individuals to financial systems, fostering technology innovation, and embodying the spirit of Priceless. Our inclusive culture empowers every employee to contribute meaningfully and impact lives. We believe in personal and professional growth, striving to connect everyone to limitless, priceless opportunities.

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Master Card Recruitment 2024

As a Data/ML Engineer in the Data Engineering & Analytics team, you’ll be tasked with crafting data and analytics solutions that leverage extensive datasets from various consumer-centric industries. Your role involves developing high-performance algorithms, employing cutting-edge analytical techniques like machine learning and artificial intelligence, and creating intuitive workflows to empower users to extract insights from large datasets. You’ll work with massive transaction volumes, designing front-end visualizations to unlock the value of big data. Additionally, you’ll innovate data-driven analytical solutions, address business and client needs quantitatively, and facilitate informed decisions by building ML models, automating data pipelines, designing data architecture, and executing tasks in big data clusters using languages like Python, Spark, R, etc.

Master Card Recruitment 2024 Overview

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Master Card Recruitment 2024 Role & Responsibility

• Lead the development of Data & Services products/platforms while focusing on impact through data science and engineering.
• Transform unstructured data into actionable insights via image auto-tagging and text-to-speech conversions.
  Address intricate challenges using multi-layered data sets and enhance existing machine learning libraries and frameworks.
• Offer assistance for deployed data applications and analytical models, serving as a trusted advisor to Data Scientists and other data consumers. Identify and resolve data issues in collaboration with partner Data
• Engineers and source data providers.
  Ensure adherence to proper data governance policies by implementing or validating Data Lineage, Quality checks, classification, etc.
• Discover and integrate new data sources to enhance insights.
• Experiment with tools for streamlined data pipeline processes.
• Stay updated on technical and product trends through self-learning, training, and job shadowing.
• Develop data and analytic infrastructure for product development.
• Innovate and find new approaches, tools, and technologies for problem-solving and generating insights.
• Collaborate with various teams to prioritize high-impact problems.
• Evaluate analytics solutions considering usability, feasibility, and stakeholder input.
• Break solutions into manageable milestones for feedback collection.
• Communicate releases to users, incorporate feedback, and track usage for improvements.
• Ensure compliance with data governance policies.
• Collaborate with cross-functional teams to define vision and establish team culture.
• Prioritize operational activities based on organization value.
• Escalate technical errors or bugs in project work.
• Stay updated on technical and product trends through self-learning and training.
• Assist in building scaled machine learning production systems by designing pipelines and infrastructure.

Master Card Recruitment 2024 Qualification

• Proficiency in Python/Scala, Spark, SQL, and Hadoop platforms for Big Data products.
• Experience with data pipeline tools like NIFI and Airflow.
• Ability to develop shell scripts for automation.
• Proficient in standard software development practices.
• Basic knowledge of statistical analytical techniques and data engineering.
• Curiosity, creativity, and enthusiasm for technology and innovation.
• Strong quantitative and problem-solving skills.
• Motivation, flexibility, and self-direction in small project teams.
• Excellent verbal and written communication, collaboration, and organizational skills.

• Bachelor’s degree in Computer Architecture, Computer Science, Electrical Engineering, or equivalent.
• A postgraduate degree is advantageous.
• Experience with visualization tools like Tableau, and Looker is a plus.
• Hands-on experience with cloud computing and big data frameworks (e.g., GCP, AWS, Azure, Flink, Elasticsearch, Beam) is preferred.
• Knowledge of MLOps frameworks such as TensorFlow Extended, Kubeflow, or MLFlow is desirable.
• Experience participating in complex engineering projects in an Agile setting (e.g., Scrum) is beneficial.

Master Card Corporate Security Responsibility

Everyone associated with Mastercard, whether as an employee or representative, must uphold information security. This entails:

• Adhering to Mastercard’s security policies and procedures.
• Safeguarding the confidentiality and integrity of accessed information.
• Promptly reporting any suspected breaches or violations of information security.
• Completing all required security training sessions as outlined by Mastercard’s guidelines.