Mastercard Hiring Data Engineer | Great Opportunity
Mastercard Hiring Data Engineer, The Data Engineer role at Mastercard includes designing, constructing, and preserving strong statistics pipelines to make sure green facts waft and assess. The engineer will collaborate with multidisciplinary groups to convert uncooked facts into huge insights that power selection-making. The characteristic wishes for know-how in programming languages that incorporate Python or Scala, revel in big records systems like Hadoop and Spark, and familiarity with cloud offerings like AWS. The role is proper for people enthusiastic about solving facts-related disturbing conditions at the same time as making sure facts are pleasant, protection, and scalability. This function gives possibilities to contribute to Mastercard’s progressive and information-pushed initiatives.
Role: Data Engineer
Company: Mastercard
Location: Pune, Maharashtra
Salary: ₹21L a year
Work Type: Full–time
Education: No Degree Mentioned
Mastercard Hiring Data Engineer
At Mastercard, the Data Engineer feature is targeted at growing and optimizing facts pipelines, ensuring seamless information integration and transport. Based in Pune, the placement requires information in large statistics technology which incorporates Hadoop and Spark, cloud systems like AWS, and programming languages like Python or Java. The engineer will collaborate with bypass-sensible businesses to lay records models and put into effect answers that decorate commercial business enterprise performance. This function gives a brilliant possibility for experts to make a contribution to Mastercard’s superior facts systems and analytics tasks at the same time as operating in dynamic and cutting-edge surroundings.
About Company
Mastercard is a primary international technology business business enterprise within the payments organization, permitting consistent, simple, and clever transactions. Operating at some point of greater than 210 global places, it connects individuals, agencies, and governments via contemporary-day charge answers. Mastercard leverages cutting-edge generation, statistics analytics, and AI to offer seamless price reviews. Known for its willpower for variety, inclusion, and sustainability, Mastercard fosters a collaborative subculture that encourages boom and innovation. As a trusted partner for monetary establishments, traders, and clients, Mastercard performs a vital role in advancing financial inclusion and the usage of the virtual financial machine earlier.
Skills
- Proficiency in Big Data Technologies: Experience with tools like Hadoop, Spark, Hive, or Kafka for managing and processing large datasets.
- Database Expertise: Strong knowledge of relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra).
- Programming Skills: Proficiency in programming languages such as Python, Java, or Scala for data processing and automation.
- Cloud Platforms: Experience with cloud-based data services (e.g., AWS, Azure, Google Cloud) and deploying scalable data pipelines.
- Data Pipeline Development: Expertise in designing, building, and maintaining ETL (Extract, Transform, Load) pipelines to ensure data quality and availability.
Roles
Build and maintain scalable records pipelines and infrastructure.
Collaborate with information scientists, analysts, and engineers to deliver actionable insights.
Implement facts amazing and protection capabilities.
Work with numerous technologies like Hadoop, Spark, and Kafka.
Optimize basic performance and scalability of statistics structures.
Eligibility Criteria: Applicants are anticipated to have strong expertise in massive facts structures, ETL tools, and programming languages like Python, Java, or Scala.
No specific diploma requirement is referred to.
Strong knowledge in statistics engineering systems and technology.
Experience in programming languages like Python, Java, or Scala.
Knowledge of cloud structures like AWS, Azure, or GCP.
Benefits at Mastercard
Competitive Salary: Attractive pay scales, which embody blessings and bonuses.
Work-Life Balance: Flexible running hours and a protracted way off artwork possibilities.
Health and Wellness: Comprehensive healthcare plans, collectively with intellectual fitness help.
Career Growth: Continuous mastering packages and clean professional development paths.
Diversity and Inclusion: An inclusive place of job that values severa perspectives and contributions.
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