Mh Work from home software testing Jobs – 129 Open Jobs Today

Lead, Data Engineer
Mastercard —Pune, Maharashtra
- Full-time
- Software troubleshooting
- Continuous improvement
- Mentoring
3d
Senior Full-Stack GenAI Engineer
Leapfrog Technology —Pune, Maharashtra
- Full-time
- Hybrid work
- Azure
- DevOps
- Java
- Paid time off
- Work from home
Quick apply
Lead Firmware Engineer
Redient Security —Pune, Maharashtra
- Full-time
- Hybrid work
- Management
- Master's degree
- Analysis skills
- Work from home
Quick apply
13d
Migration Modernization Architect, Professional Services
AWS India - Haryana —Mumbai, Maharashtra
- Full-time
- Doctoral degree
- Computer Science
- Engineering
11d
CISO (Chief Information & Security Officer)
Energy Exemplar —Pune, Maharashtra
- Azure
- Computer Science
- AWS
Quality Engineering - Senior Specialist
NASDAQ —Mumbai, Maharashtra
- Full-time
- Computer Science
- English
- Java
Senior Lead - Market & Product Strategy
BrowserStack —Mumbai, Maharashtra
- Full-time
- Remote
- Product management
- Communication skills
- Health insurance
- Paid time off
VP - Senior Data Engineer (Python/Snowflake/Apache Airflow)
BlackRock Investments —Mumbai, Maharashtra
- Hybrid work
- Azure
- Computer Science
- System design
- Work from home
In-process Quality engineer
ABB India Limited —Nashik, Maharashtra
- Online application
- Assembly
- Analysis skills
- Electrical experience
Quick apply
6d

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Lead, Data Engineer

Mastercard -
Pune, Maharashtra

Apply Now

Job details

Full-time
3 days ago

Qualifications

Software troubleshooting
Information security
Continuous improvement
Mentoring
Scalability
Data science
AI
Communication skills

Full 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

Lead, Data Engineer

Lead, Data Engineering

Who is Mastercard?

We are the global technology company behind the world’s fastest payments processing network. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless®. We ensure every employee has the opportunity to be a part of something bigger and to change lives. We believe as our company grows, so should you. We believe in connecting everyone to endless, priceless possibilities.

What is the AI Ops team?

The AI Ops team uses AI, machine learning, and data science techniques to detect anomalies, predict impact, and initiate remediation. The team creates insights—in the form of dashboards, reports, and alerts—from operations data and helps stakeholders make data-driven decisions for planning, troubleshooting, or monitoring application health.

Overview

The Lead Data Engineer, AI Ops serves as a technical leader responsible for designing, building, and evolving scalable data solutions that support operational visibility, analytics, and intelligent decision-making across AI Ops, SRE, infrastructure, and software engineering teams. This role provides technical direction, partners closely with stakeholders, and applies deep expertise to improve products, processes, and engineering practices. The position also helps establish standards for data quality, security, and resiliency while mentoring team members and contributing to strategic roadmap planning and innovation. The position is a critical component to bringing the ONE Data Lake to life.

Key Responsibilities

Act as a subject matter expert in data engineering, providing technical leadership and influencing stakeholders to support team priorities, solution development, and continuous improvement.
Conduct thorough code reviews and provide constructive feedback to promote engineering standards, maintainability, and overall solution quality.
Design, develop, and maintain scalable data pipelines and solutions that meet expectations for performance, data quality, security, observability, and operational resilience.
Develop and maintain technical documentation such as requirements, solution designs, test strategies, and deployment, migration, and rollback plans to support reliable delivery.
Document technical solutions, processes, standards, and methodologies to support knowledge sharing, reproducibility, governance, and continuous improvement.
Stay current with data engineering tools, frameworks, and industry best practices, and help drive adoption of improvements that enhance platform capabilities and operational efficiency.
Contribute to solution and technology roadmaps by supporting strategic planning, modernization efforts, and innovation while reinforcing best practices in data quality, testing, and security.
Perform some ML Engineering related tasks such as operationalizing models and deploying them
Mentor and support junior team members through coaching, work reviews, and knowledge sharing, helping build technical capability and a culture of continuous improvement.

Required Skills and Experience

Significant experience in data engineering, including the design and operation of scalable data pipelines, platforms, and integrations across structured, semi-structured, and unstructured data.
Demonstrated ability to lead technical design efforts, conduct code reviews, and establish engineering standards that improve reliability, maintainability, and scalability.
Strong hands-on experience with modern data engineering and orchestration tools, cloud or enterprise data platforms, and practices related to monitoring, observability, and secure data processing. Ideal candidate has experience with building pipelines and onboarding data to Cloudera.
Strong written and verbal communication skills, with the ability to influence stakeholders, translate technical concepts for diverse audiences, and produce clear technical documentation.
Experience mentoring engineers and collaborating across technical, operational, and business teams to support roadmap execution, governance, and continuous improvement.

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.

Apply Now

Refine Your Search

work from home software testing jobs in mh

Lead, Data Engineer

Senior Full-Stack GenAI Engineer

Lead Firmware Engineer

Migration Modernization Architect, Professional Services

CISO (Chief Information & Security Officer)

Quality Engineering - Senior Specialist

Senior Lead - Market & Product Strategy

VP - Senior Data Engineer (Python/Snowflake/Apache Airflow)

In-process Quality engineer

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