Mastercard Hiring Data Engineer | Great Opportunity

Mastercard; Pune District; On-site; INR 1,890,000 - 2,310,000; Full time

Benefits offered by this job

Competitive Salary with bonuses

Work-life balance with flexible hours

Health and wellness support

Career growth opportunities

Diversity and inclusion initiatives

Job summary

Mastercard is hiring a Data Engineer to design, construct, and maintain data pipelines in Pune, Maharashtra. This role will involve collaborating with teams to transform raw data into insightful analytics and requires experience with Python, Hadoop, and AWS.

Offering a competitive salary of ₹21L a year, Mastercard provides a culture focused on career growth, work-life balance, and diversity.

Qualifications

• Strong expertise in large data architectures, ETL tools, and programming languages such as Python, Java, or Scala.
• Proficiency in cloud platforms such as AWS, Azure, or GCP and familiarity with data governance standards.

Responsibilities

• Build and maintain scalable data pipelines and infrastructure.
• Collaborate with data scientists, analysts, and engineers to deliver actionable insights.
• Implement data enrichment and security capabilities.
• Work with technologies such as Hadoop, Spark, and Kafka.
• Optimize baseline performance and scalability of data structures.

Skills

Big Data Technologies

Database Expertise

Programming Skills

Cloud Platforms

Data Pipeline Development

Tools

Hadoop

Spark

AWS

Java

Python

Kafka

Job description

Mastercard Hiring Data Engineer

Data Engineer role at Mastercard includes designing, constructing, and preserving strong data pipelines to enable accurate data collection, integration, and governance. The engineer will collaborate with multidisciplinary teams to convert raw data into insightful analytics that inform decision making. The role calls for experience in programming languages such as Python or Scala, expertise with big data systems like Hadoop and Spark, and familiarity with cloud platforms such as AWS. The position is ideal for individuals enthusiastic about solving data‑related challenges while ensuring data is reliable, secure, and scalable. This role provides a chance to contribute to Mastercard’s progressive and data‑driven initiatives.

Location: Pune, Maharashtra

Salary: ₹21L a year

Work Type: Full‑time

Education: No Degree Mentioned

About Company

Mastercard is a leading global technology company in the payments industry, facilitating secure, simple, and smart transactions worldwide. Operating across more than 210 countries, it connects consumers, merchants, and financial institutions through state‑of‑the‑art payment solutions. Mastercard leverages emerging technologies, data analytics, and AI to deliver seamless customer experiences. Known for its commitment to diversity, inclusion, and sustainability, Mastercard fosters a collaborative culture that supports growth and innovation. As a trusted partner for banks, merchants, and consumers, Mastercard plays a pivotal role in advancing financial inclusion and the adoption of digital financial services.

Skills

• Proficiency in Big Data Technologies: experience with tools such as 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 Python, Java, or Scala for data processing and automation.
• Cloud Platforms: experience with cloud‑based data services such as AWS, Azure, or Google Cloud and deploying scalable data pipelines.
• Data Pipeline Development: expertise in designing, building, and maintaining ETL pipelines to ensure data quality and availability.

Roles

• Build and maintain scalable data pipelines and infrastructure.
• Collaborate with data scientists, analysts, and engineers to deliver actionable insights.
• Implement data enrichment and security capabilities.
• Work with technologies such as Hadoop, Spark, and Kafka.
• Optimize baseline performance and scalability of data structures.

Eligibility Criteria

• Strong expertise in large data architectures, ETL tools, and programming languages such as Python, Java, or Scala.
• Proficiency in cloud platforms such as AWS, Azure, or GCP and familiarity with data governance standards.

Benefits

• Competitive Salary with bonuses.
• Work‑life balance with flexible hours and extended leave options.
• Health and wellness: comprehensive healthcare plans and mental fitness support.
• Career growth: continuous learning opportunities and clear professional development paths.
• Diversity and inclusion: a workplace that values a range of perspectives and contributions.