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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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.
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.
Job Role | Data /ML Engineer |
Qualification | Graduate |
Experience | Freshers |
Salary | ₹18 lakh per year |
Job Type | Private |
Job Location | Pune |
• 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.
Everyone associated with Mastercard, whether as an employee or representative, must uphold information security. This entails:
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