Senior Data Engineer

Mastercard; Navi Mumbai; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Mastercard is seeking a Senior Data Engineer II to design, build, and support scalable data pipelines and platforms powering analytics and business insights. You will partner with engineering, BI, and business teams to deliver reliable data solutions and ensure data quality across products.

You will work with Databricks, Snowflake, dbt, and Spark on cloud data platforms, while improving data governance and documentation. Strong SQL, modeling, and communication skills are essential for success.

Qualifications

• Experience in designing and maintaining data pipelines and transformations.
• Strong SQL and data modeling skills with experience in data platforms.
• Familiarity with cloud-based data platforms and tools such as Databricks, Snowflake, dbt, Spark, or similar technologies.
• Understanding of data warehousing, data governance, and data quality concepts.
• Ability to troubleshoot technical problems and deliver sustainable solutions.
• Excellent communication with technical and non-technical stakeholders.
• Curiosity and willingness to learn new technologies and approaches.
• Proactive in finding improvements to processes and data capabilities.

Responsibilities

• Design, develop, and support data pipelines and data products on modern cloud data platforms.
• Partner with engineering, BI, and business teams to understand requirements and deliver scalable data solutions.
• Build and maintain data transformations, data models, and reporting datasets.
• Monitor, troubleshoot, and improve the performance and reliability of production data processes.
• Contribute to data governance, data quality, and documentation standards.
• Participate in code reviews and support engineering best practices across the team.
• Continuously identify opportunities to improve processes, tools, and data capabilities.

Skills

SQL

Data modeling

Cloud platforms

Data warehousing

Data governance

Data quality

Troubleshooting

Communication

Self-motivated learning

Stakeholder management

Tools

Databricks

Snowflake

dbt

Spark

Job description

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title And Summary

Senior Data Engineer

Overview

The Open Finance Cloud Data Solutions team is looking for a Data Engineer II to help build and support scalable data products and platforms that power analytics, reporting, and business insights across Mastercard. The ideal candidate is passionate about data, highly motivated, intellectually curious, analytical, and enjoys solving complex technical problems. This role will work closely with engineering, business intelligence, and business partners to deliver reliable, high-quality, and well-governed data solutions.

In This Position, You Will

• Design, develop, and support data pipelines and data products on modern cloud data platforms.
• Partner with engineering, BI, and business teams to understand requirements and deliver scalable data solutions.
• Build and maintain data transformations, data models, and reporting datasets.
• Monitor, troubleshoot, and improve the performance and reliability of production data processes.
• Contribute to data governance, data quality, and documentation standards.
• Participate in code reviews and support engineering best practices across the team.
• Continuously identify opportunities to improve processes, tools, and data capabilities.

All About You

• Have experience developing and supporting data pipelines and data transformations.
• Possess strong SQL and data modeling skills.
• Be familiar with cloud-based data platforms and tools such as Databricks, Snowflake, dbt, Spark, or similar technologies.
• Have an understanding of data warehousing, data governance, and data quality concepts.
• Be skilled at troubleshooting technical problems and delivering sustainable solutions.
• Be a strong communicator who can work effectively with technical and non-technical stakeholders.
• Be self-motivated, curious, and eager to learn new technologies and approaches.
• Always look for opportunities to improve processes and deliver better outcomes for customers and partners.

Corporate Security Responsibility

• Abide by Mastercard’s security policies and practices;
• Ensure the confidentiality and integrity of the information being accessed;
• Report any suspected information security violation or breach, and
• Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.