Mastercard
Financial Services
DataEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Engineer at Mastercard. Skills: Data Engineering, Data Pipelines, Data Warehousing, ETL/ELT. Design data capabilities. Develop data capabilities”
Industry & Context.
Problem-solving skills; Troubleshoot data-related issues; Identify root causes
What They're Looking For.
Must Have
Bachelor’s degree in Computer Science, Proven experience as a Data Engineer, Deep understanding of data engineering, Command of data integration techniques, Hands-on experience with Databricks, Hands-on experience with Spark, Hands-on experience with Python, Hands-on experience with SQL, Hands-on experience with Hadoop, Hands-on experience with Airflow, Familiarity with AWS, Familiarity with Azure, Excellent analytical skills, Excellent problem-solving skills, Exceptional interpersonal skills, Written communication skills, Oral communication skills, Attention to detail, Ability to learn new technologies, Ability to perform POC, 0.6 - 1.5 years of experience, Experience building data pipelines, Experience working with MS SQL Server, Experience working with Oracle, Experience automating data flow processes, Experience working in Agile teams
Nice to Have
Master's degree preferred, Experience with Scala, Experience with Java, Experience with Databricks environment, Experience with Hadoop environment, Experience with Airflow or similar tools
What You'll Do.
Design data capabilities
Develop data capabilities
Maintain data capabilities
Create new data pipelines
Create new data transfers
Create compliance-oriented infrastructure
Identify data capability gaps
Identify infrastructure gaps
Provide subject matter expertise
Collaborate with technical teams
Collaborate with business stakeholders
Understand data requirements
Translate data requirements
Work with large datasets
Ensure data performance
Implement data transformation
Implement data integration
Implement data validation
Support analytics needs
Support reporting needs
Optimize data pipelines
Fine-tune data pipelines
Implement data storage best practices
Implement data retrieval best practices
Implement data archival best practices
Troubleshoot data-related issues
Document data processes
Document data lineage
Document technical specifications
Participate in code reviews
Ensure adherence to coding standards
Ensure adherence to best practices
Collaborate with DevOps teams
Automate deployment of data pipelines
Automate monitoring of data pipelines
How You'll Work.
Team & Collaboration
Cross-functional teams; Geographically dispersed team; Matrix-based project team; Agile teams
Communication Scope
Written communication; Oral communication
Process & Methodology
Agile
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** ### Data Engineer I ### Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Overview Are you a skilled Data Engineer with a passion for building robust data & analytics products/solutions and driving impact? As Data Engineer II, you will spearhead the creation of a reliable and efficient data products & solutions, enabling the delivery of exceptional Data & Analytics Services to both internal & external customers. Role As the Data Engineer II for Mastercard's Data & Analytics team, you will be the driving force behind the development and execution of cutting-edge data products, solutions & frameworks. Your expertise will ensure effective democratization of Mastercard's data using well designed Data products/solutions. You will collaborate with cross-functional teams and establish data-related best practices in al
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