# Sr Data Engineer

**Company**: Mastercard
**Location**: Pune, India
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Finance

**Apply**: https://mastercard.wd1.myworkdayjobs.com/en-US/CorporateCareers/job/Pune-India/Sr-Tester-Data-Engineer_R-271045?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_5641e371-303

## Description

Mastercard's AI Innovation at Scale team is seeking a highly motivated and detail-oriented Senior Data Engineer to join their team. This role is critical in ensuring the delivery of high-quality products by assessing requirements, identifying issues, and implementing effective testing strategies.

As a Senior AI Engineer, you will:

- Be an integral part of a creative and innovative team, contributing to collaborative projects and sharing insights to drive engineering and data science excellence

- Work with cutting-edge big data platforms (e.g., Databricks, Apache Spark) at petabyte scale, pushing the boundaries of data processing and model enablement

- Partner closely with Data Science teams to enable seamless R&D, scale models, features, and experimentations into reliable systems

- Support the deployment of model features and model artifacts, ensuring seamless integration into production environments and downstream decisioning systems

- Write clean, testable, and maintainable code, ensuring solutions are robust, efficient, and production-grade

- Design, build, and maintain data pipelines that integrate multiple data sources to support a unified merchant registry and trust profile, enabling richer datasets and unlocking new opportunities for innovation

- Collaborate with data operations and governance teams to move and manage data in compliance with security standards, policies, and regulatory requirements

- Contribute to the design and evolution of scalable, entity-centric data models that support merchant identity resolution and longitudinal profiling

- Automate and maintain data workflows in distributed environments, improving reliability and operational efficiency

- Analyze and optimize ETL/ELT processes to support high-performance data access and model execution

- Implement testing frameworks and monitoring capabilities to ensure production solutions are reliable, observable, and continuously improving

- Support incident response, debugging, and performance tuning of production AI/ML systems

Essential Skills to be successful:

- Proven track record of self-directed learning, demonstrating the ability to acquire new skills and knowledge independently

- Strong independent research skills and resourcefulness, enabling you to find solutions and innovate in data engineering

- Strong understanding of data pipelines and end-to-end ML model development workflows, with exposure to entity-centric data systems

- Experience with Python and SQL, showcasing the ability to write clean, readable, and maintainable code

- Experience with big data technologies (e.g., Spark, distributed compute frameworks)

- Hands-on experience with cloud platforms such as Databricks, AWS, or GCP

- Critical thinking and a drive to produce high-quality work, ensuring all solutions meet rigorous standards

- Strong communication skills, enabling effective collaboration with team members and stakeholders

- Experience collaborating across data science, engineering, and governance teams

- Ability and interest in problem-solving, with a proactive approach to tackling challenges

- Openness to learn and apply new technologies, staying current with industry trends and advancements

- Familiarity with Agile methodologies, with the ability to drive iterative delivery and cross-team collaboration

- Bachelor’s degree in Computer Science, Data Analytics, Mathematics, Software Engineering, or a related field or equivalent practical experience

Nice to Have:

- Experience working in hybrid environments (cloud and on-premises)

- Familiarity with ML lifecycle and CI/CD practices for data and ML workflows

- Experience with data governance, lineage, and metadata management

- Exposure to batch, streaming, or real-time data pipelines and production ML monitoring/observability

- Experience supporting high-scale production systems in merchant, fraud, or payment domains

- Understanding of security, compliance, and handling sensitive data

- Experience designing scalable databases and data models such as business registries

- Experience with database updates and maintenance

## Skills

### Required
- Python
- SQL
- Databricks
- Apache Spark
- AWS
- GCP
- big data technologies
- data pipelines
- ML model development
- entity-centric data systems
- Agile methodologies

### Nice to have
- Experience working in hybrid environments
- Familiarity with ML lifecycle and CI/CD practices
- Experience with data governance
- Exposure to batch, streaming, or real-time data pipelines
- Experience supporting high-scale production systems
- Understanding of security, compliance, and handling sensitive data

---

Source: [Apply at mastercard.wd1.myworkdayjobs.com](https://mastercard.wd1.myworkdayjobs.com/en-US/CorporateCareers/job/Pune-India/Sr-Tester-Data-Engineer_R-271045?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)