Senior Software Engineer (Data Platform | Bigdata, NiFi, Spark, Airflow, Kubernetes, MinIO,CEPH)

Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential.
Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.

Overview
The Enterprise Data Solutions team is looking for a Big Data Engineer to drive our mission to unlock potential of data assets by consistently innovating, eliminating friction in how users access data from its Big Data repositories and enforce standards and principles in the Big Data space. The candidate will be part of an exciting, fast paced environment developing Data Engineering solutions in the data and analytics domain.

Job Title: Senior Software Engineer - Data Platform Engineering
Location: Pune, India

About the Role
As a Senior Software Engineer on the enterprise-wide Data Platform team, you will play a critical role in building, enhancing, and scaling distributed data systems. You'll collaborate with engineering leads and cross-functional teams to deliver robust solutions using technologies such as NiFi, Spark, MinIO, Kubernetes, and Airflow.

Key Responsibilities

Design and develop scalable data pipelines and services using NiFi, Spark, and other distributed frameworks.
Install and debug the services like NiFi, Spark, Airflow, Kubernetes, MinIO/CEPH etc
Contribute to the integration and deployment of containerized workloads using Kubernetes and Airflow.
Collaborate with product managers, architects, and engineers to translate business requirements into technical solutions.
Ensure high availability, fault tolerance, and performance of platform components.
Participate in code reviews, testing, and documentation to uphold engineering excellence.
Monitor and troubleshoot production systems, proactively identifying and resolving issues.
Support onboarding and enablement of application teams using the data platform.

Technical Skills

Experience with distributed systems and data processing frameworks (e.g., Apache NiFi, Apache Spark).
Familiarity with object storage systems like MinIO or S3.
Hands-on experience with Kubernetes and workflow orchestration tools like Apache Airflow.
Background in Java for data processing and automation is desired.
Understanding of CI/CD pipelines and DevOps practices.
Expertise in Linux/Unix administration, scripting, and automation.
Experience with Dynatrace/Splunk for monitoring, alerting, and incident management in production environments.
Exposure to cloud platforms (AWS, GCP, or Azure) is a plus.
Exposure to AI solutions for automating data platform tasks is preferred.

Soft Skills

Strong problem-solving and analytical skills.
Effective communication and collaboration across teams.
Ability to work independently and take ownership of deliverables.
Willingness to mentor junior engineers and contribute to team growth.

Qualifications

Bachelor's degree in Computer Science, Engineering, or a related field.
7+ years of experience in software engineering, preferably in data platform or infrastructure teams.
Prior experience in enterprise environments or large-scale systems is preferred.

Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

• 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.