Lead Cloud Data Engineer

At Mastercard, we are looking for an experienced Lead Cloud Data Engineer to join our innovative and motivated team. We are seeking an individual with a deep understanding of cloud data engineering and a passion for developing technology solutions to drive business value. The ideal candidate will have extensive experience working with cloud data engineering technologies and a track record of successfully leading cloud data engineering projects.The Lead Cloud Data Engineer at Mastercard will be responsible for driving cloud data engineering initiatives and leveraging the latest technologies to develop solutions that will improve the scalability, performance, and security of our cloud-based data systems. This is a highly technical role and requires a wide range of technical and leadership skills.The successful candidate will have a minimum of five years of experience in cloud data engineering, with an emphasis on designing and developing cloud-based data solutions. The ideal candidate will have a Bachelor's degree in Computer Science or a related field. Expertise in programming languages such as Python, Java, or C# is necessary, as well as experience with cloud platforms such as AWS, Azure, or GCP. Knowledge of distributed computing platforms, such as Apache Spark and Apache Hadoop, is a major plus. The successful candidate will also have strong problem-solving skills and a proven track record of leading teams in developing successful cloud-based solutions.

Responsibilities:

1. Lead and develop cloud data engineering initiatives that will improve the scalability, performance, and security of cloud-based data systems.
2. Design and develop cloud-based data solutions.
3. Utilize programming languages such as Python, Java, and C# to develop cloud-based solutions.
4. Leverage cloud platforms such as AWS, Azure, and GCP to build cloud-based data solutions.
5. Use distributed computing platforms such as Apache Spark and Apache Hadoop to develop cloud-based solutions.
6. Lead teams in developing successful cloud-based solutions.
7. Identify and troubleshoot problems related to cloud data engineering.
8. Implement best practices for cloud data engineering.
9. Monitor and assess the performance of cloud-based data solutions.
10. Stay abreast of the latest trends and technologies in cloud data engineering.

According to JobzMall, the average salary range for a Lead Cloud Data Engineer in O'Fallon, MO, USA is $96,500 to $126,000 per year. Salaries can vary depending on experience, skills, and other factors.

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.