Not specified (assumed hybrid based on industry standards).
Aws data engineering tech stack
Apache airflow orchestration tools
Databricks delta and iceberg formats
Mastercard is seeking a Lead Data Engineer to enhance data engineering capabilities by designing and optimizing scalable data solutions. The role involves leadership in data pipeline architecture, ensuring data quality, and collaboration with cross-functional teams to drive impactful data products
Job Summary
Mastercard is seeking a Lead Data Engineer to drive the design, development, and optimization of scalable data solutions that power analytics and decision-making.
The role requires leading a team of engineers while ensuring data quality, integrity, and reliability through established standards and monitoring frameworks.
Candidates must possess deep expertise in AWS data services, Databricks, and big data processing to deliver end-to-end data solutions for the organization.
Matching Summary
Match Score: 85
Mastercard is seeking a Lead Data Engineer to enhance data engineering capabilities by designing and optimizing scalable data solutions. The role involves leadership in data pipeline architecture, ensuring data quality, and collaboration with cross-functional teams to drive impactful data products.
Skills & Requirements
Must-have
AWS Data Engineering tech stack
Apache Airflow orchestration tools
Databricks Delta and ICEBERG formats
SQL and major RDBMS experience
Python, Scala, or PowerShell scripting
Nice-to-have
Mentoring data engineering teams
Agile methodologies and DevOps practices
Cross-functional collaboration skills
Emerging technology evaluation
Strong communication with non-technical audiences
Key Requirements
Extensive experience as a Data Engineer
Bachelor's degree in Computer Science or related field