Apply on Employer Site

Mastercard · 11 hours ago

Senior Data Engineer

Atlanta, GA

Full-time

Onsite

Mid, Senior Level

$115K/yr - $184K/yr

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. The Marketing Services team is looking for a Senior Data Engineer to provide technical ownership, with an emphasis on data architecture, engineering efficiency, and on-time delivery.

FinanceFinancial ServicesInformation TechnologyPayments

Growth Opportunities

No H1B

Responsibilities

Provide technical leadership in data engineering, ensuring best practices for data pipelines, data modeling, storage, and retrieval

Lead the scoping, design and implementation of data pipelines and data models to enable performant and scalable products

Work with multiple sources of data, storage systems, and building processes and pipelines to provide cohesive datasets for analysis and modeling

Ensure a high-quality code base by writing and reviewing performant & scalable, well-tested code

Collaborate with cross-functional teams to define data requirements and design solutions that align with business objectives

Oversee data governance and quality, ensuring data accuracy, consistency, and compliance with industry standards

Mentor software engineers & data engineers, establishing data best practices and creating up-skilling opportunities for the team

Ensure that software and system design and delivery support the goal of zero down time in production

Ensure development supports all appropriate data compliance and usage requirements, including PCI, GLBA, Safe Harbor, SOX, etc

Qualification

Data engineeringETLAWS cloud servicesPythonBig DataDatabricksSnowflakeAgile processesData visualizationMarketing technologiesCommunication skillsProject management

Required

Deep knowledge of software development processes including agile processes, test driven development and automation of the build and deployment processes (CI/CD)

Experience with software development or application engineering with recent coding experience in two or more of the following languages: Python, Java, Scala, Pyspark, or other

Strong understanding of data with experience in ETL, event streaming, data ingestion, modelling, Big Data (Hadoop/Spark), data visualization & analytics

Experience with AWS cloud services for data engineering and ML workflows

Hands-on experience with Databricks or Snowflake

Familiarity with industry best practices for collection and use of data

Strong technologist eager to learn new technologies and frameworks

Strong verbal and written communication and presentation skills, with ability to represent team at public events such as technology conferences

Project management skills and a demonstrated ability to understand complex information product constructs

Ability to manage multiple priorities simultaneously and partner with teams outside of the engineering organization

Experience integrating vendor and open-source products into an overall system