Data Engineer - Hadoop

At Mastercard, we are dedicated to making a positive impact on the world through our innovative payment solutions. As a Data Engineer - Hadoop, you will play a crucial role in enabling our data-driven decision making and shaping the future of the payments industry. We are looking for an experienced and driven individual who is passionate about utilizing cutting-edge technologies to solve complex data challenges. If you have a strong background in Hadoop and a desire to make a difference, we want you on our team. Join us at Mastercard and help us shape the future of payments.

1. Develop and maintain Hadoop-based data solutions to support business objectives and strategies.
2. Design and implement data models, schemas, and pipelines to effectively store, process, and analyze large volumes of data.
3. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
4. Optimize and tune Hadoop clusters for maximum performance and scalability.
5. Identify and troubleshoot data quality and integrity issues, ensuring data accuracy and consistency.
6. Develop and maintain documentation for data processes, systems, and workflows.
7. Stay updated on industry trends and best practices in Hadoop and big data technologies, and make recommendations for continuous improvement.
8. Work closely with data scientists and analysts to understand data needs and develop solutions to support their analytical and reporting needs.
9. Provide technical guidance and support to team members and stakeholders.
10. Participate in project planning and estimation, and deliver projects within agreed timelines and quality standards.
11. Ensure compliance with data security and privacy policies and regulations.
12. Continuously monitor and analyze data processes and systems, and make recommendations for optimization and automation.
13. Participate in data governance initiatives and maintain data quality standards.
14. Proactively identify and resolve data-related issues and communicate effectively with stakeholders.
15. Collaborate with external vendors and partners to integrate data sources and ensure data quality across systems.
16. Participate in team meetings and contribute to a positive and collaborative work environment.
17. Act as a subject matter expert on Hadoop and big data technologies, and provide training and support to team members as needed.
18. Actively contribute to the development and implementation of data engineering best practices and standards.

According to JobzMall, the average salary range for a Data Engineer - Hadoop in Pune, Maharashtra, India is between ₹800,000 to ₹1,500,000 per year. This may vary depending on the specific company, experience level, and skills of the individual.

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.