Mastercard
Financial Services
SeniorDataEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Engineer at Mastercard. Skills: Data Engineering, Big Data, Hadoop, Spark. Design big data solutions. Develop big data solutions”
Industry & Context.
Problem-solving skills; Root cause analysis; Debugging production issues
What They're Looking For.
Must Have
Bachelor's degree in Information Systems, 6+ years of experience, 4-5 years in Financial Services, Advanced knowledge of Software Engineering Concepts, 5+ years of hands-on experience in Hadoop ecosystem, 5+ years of hands-on experience in Cloudera distribution, Proven expertise in building distributed data pipelines, Proven expertise in building distributed data frameworks, Hands-on experience with Apache Ozone, Hands-on experience with Apache Iceberg, Skilled in designing orchestration workflows, Skilled in managing orchestration workflows, Analytical and problem-solving skills, Excellent communication skills, Collaboration abilities, Organizational abilities
Nice to Have
Master's degree in Information Systems, Master's degree in Information Technology, Master's degree in Computer Science, Master's degree in Engineering, Experience with Apache Spark (Scala/Python/Java)
What You'll Do.
Design big data solutions
Develop big data solutions
Deliver big data solutions
Architect data processing frameworks
Implement data processing frameworks
Optimize data workflows
Orchestrate data pipelines
Integrate data pipelines
Maintain operational excellence
Meet SLA requirements
Drive technical innovation
Contribute to development
Contribute to implementation
Ensure high performance
Drive end-to-end technical delivery
Define technical standards
Define best practices
Perform performance benchmarking
Optimize distributed frameworks
Ensure efficient parallel processing
Ensure scalable storage
Research emerging technologies
Evaluate emerging technologies
Improve operational efficiency
Develop strategic technical plans
Create architecture proposals
Provide technical leadership
Ensure compliance with security standards
Ensure compliance with quality standards
Ensure compliance with performance standards
Manage production incidents
Drive root cause analysis
Drive remediation for complex issues
Conduct Proof of Concepts
Contribute to technology roadmaps
How You'll Work.
Team & Collaboration
Cross-functional teams; Geographically distributed teams
Communication Scope
Verbal communication; Written communication
Process & Methodology
Technical plans
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** ### Senior Data Engineer ### Job Overview The Senior Software Engineer will do the design, development, and delivery of advanced big data solutions within the Hadoop ecosystem. This role involves architecting and implementing scalable data processing frameworks, ensuring high performance and reliability across distributed systems. The engineer will research and evaluate emerging technologies to optimize data workflows and meet evolving business needs. Additionally, the position requires hands-on expertise in Cloudera distribution and related tools, ensuring seamless orchestration and integration of data pipelines. The Senior Software Engineer will also be responsible for maintaining operational excellence, meeting SLA requirements, and mentoring team members to drive technical innovation and best practices. Role Contribute individually to the design, development, and implementation of large-scale data engineering solutions within the Hadoop ecosystem, ensuring high performance, scalability, and reliability. Drive end-to-end technical delivery for projects involving Cloudera distribution, Apache Ozone, Apache Iceberg, Apache Airflow, Apache NiFi, and Apache Spark. Collaborate with cross-functional teams to define architecture, technical standards, and best practices for big data platforms and workflows. Perform rigorous performance benchmarking and optimization for newly developed distributed frameworks, ensuring effic
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