Welcome to Mastercard, where we are constantly pushing the boundaries of innovation and shaping the future of commerce. We are seeking a highly skilled and dynamic Lead Data Engineer to join our team and drive our data strategy forward. As the Lead Data Engineer, you will play a crucial role in designing, developing and maintaining our data infrastructure, enabling us to harness the power of data to deliver cutting-edge solutions for our clients. We are looking for a passionate and driven individual with a strong technical background and proven leadership experience. If you are ready to take on a challenging and rewarding role in a fast-paced and constantly evolving industry, then we want to hear from you!
- Design and develop data infrastructure: Collaborate with cross-functional teams to design and build scalable data pipelines and infrastructure that meet the needs of our business and clients.
- Lead data strategy: Develop and implement a comprehensive data strategy that aligns with business goals and drives innovation.
- Maintain data systems: Ensure the reliability, availability and performance of our data systems through ongoing maintenance, monitoring and troubleshooting.
- Drive data-driven solutions: Utilize your technical expertise to identify opportunities for leveraging data to create innovative solutions and drive business growth.
- Provide technical leadership: Lead a team of data engineers, providing guidance and mentorship to ensure high-quality deliverables and continuous improvement.
- Stay current with industry trends: Keep up-to-date with the latest data engineering technologies and techniques, and provide recommendations for their implementation.
- Collaborate with stakeholders: Work closely with various stakeholders, including business leaders and data scientists, to understand their needs and deliver data-driven solutions that meet their requirements.
- Ensure data security and compliance: Ensure compliance with data privacy and security regulations, and implement necessary measures to protect sensitive data.
- Analyze and optimize data processes: Continuously monitor and analyze data processes to identify areas for improvement and implement optimizations to enhance data quality and efficiency.
- Communicate effectively: Clearly communicate data engineering concepts and solutions to both technical and non-technical stakeholders, fostering a culture of data-driven decision making.
Extensive Experience In Data Engineering: The Ideal Candidate For A Lead Data Engineer At Mastercard Should Have At Least 5 Years Of Experience In A Data Engineering Role, With A Proven Track Record Of Designing And Implementing Data Pipelines, Data Warehouses, And Data Lakes.
Strong Programming Skills: A Lead Data Engineer At Mastercard Should Be Proficient In Programming Languages Such As Sql, Python, And Java, As Well As Have Experience With Data Processing Frameworks Like Hadoop And Spark.
Understanding Of Data Architecture And Modeling: The Candidate Should Have A Deep Understanding Of Data Architecture Principles And Be Able To Design And Implement Data Models That Support Business Requirements And Data Analysis.
Leadership And Project Management Skills: As A Lead Data Engineer, The Candidate Will Be Responsible For Leading A Team Of Data Engineers And Managing Projects. The Ideal Candidate Should Have Strong Leadership Skills And Experience In Project Management Methodologies.
Knowledge Of Data Security And Compliance: Mastercard Deals With Sensitive Financial Data, So A Lead Data Engineer Should Have A Good Understanding Of Data Security And Compliance Standards, Such As Gdpr And Pci-Dss, And Be Able To Implement Them In Data Solutions.
Sql
Python
Big Data
Data Modeling
ETL
Machine Learning
Data Management
Data warehousing
Cloud Computing
Agile methodologies
Data governance
Data architecture
Communication
Conflict Resolution
Decision Making
Leadership
Problem Solving
Time management
creativity
Teamwork
Adaptability
Empathy
According to JobzMall, the average salary range for a Lead Data Engineer in O'Fallon, MO, USA is $110,000 - $130,000 per year. This can vary depending on the specific job description, company, and individual qualifications and experience. Some factors that may affect the salary range include the size and industry of the company, the complexity and scope of the data engineering projects, and the demand for data engineering skills in the local job market.
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Mastercard is a leader in global payments and a technology company that connects billions of consumers, thousand of financial institutions, and millions of merchants, as well as governments and businesses around the world.
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