Hadoop Data Engineer

Are you a skilled Hadoop Data Engineer looking for your next career opportunity? Join the HSBC team as we continue to revolutionize the banking industry with our innovative data solutions. As a Hadoop Data Engineer, you will play a vital role in designing, building and maintaining our Hadoop platform, ensuring the efficient and effective storage, processing, and analysis of large and complex data sets. We are seeking a driven and passionate individual with a strong technical background and a desire to work in a dynamic and collaborative environment. If you have a proven track record of delivering high-quality data solutions and are ready to take your career to the next level, we want to hear from you!

1. Design and build the Hadoop platform for efficient and effective storage, processing, and analysis of large and complex data sets.
2. Maintain and troubleshoot the Hadoop platform to ensure its smooth operation.
3. Collaborate with cross-functional teams to understand data needs and design solutions that meet business requirements.
4. Develop and implement data quality and data governance processes to ensure the accuracy and integrity of data.
5. Optimize Hadoop performance and scalability to handle increasing data volumes.
6. Stay updated with the latest industry trends and advancements in Hadoop technology to continuously improve the platform.
7. Communicate effectively with team members and stakeholders to provide updates on project progress and address any issues or concerns.
8. Document and maintain technical specifications, data mappings, and other relevant documentation.
9. Conduct testing and troubleshooting to identify and resolve any issues that may arise.
10. Train and mentor junior team members on Hadoop data engineering best practices.
11. Ensure compliance with data security and privacy regulations.
12. Act as a subject matter expert on Hadoop technology and provide guidance to other team members as needed.
13. Proactively identify and propose solutions to improve data processes and systems.
14. Participate in data governance meetings and contribute to the development of data standards and policies.
15. Collaborate with external vendors and partners to integrate their data with the Hadoop platform.
16. Continuously monitor and improve the performance of the Hadoop platform to meet business needs.
17. Adhere to project timelines and deliver high-quality data solutions within given deadlines.
18. Take ownership of projects and help drive them to successful completion.
19. Uphold the company's core values and work towards achieving the organization's mission and vision.
20. Continuously develop and enhance technical skills to stay current with industry advancements and best practices.

According to JobzMall, the average salary range for a Hadoop Data Engineer in Pune, Maharashtra, India is between ₹500,000 - ₹1,500,000 per year (approximately $6,800 - $20,500 USD).

Salaries may vary depending on factors such as experience, skills, and the specific company or industry. Some Hadoop Data Engineers in Pune may earn higher salaries, especially those with a strong background in data engineering and a deep understanding of Hadoop technologies. Additionally, factors such as demand for Hadoop skills in the job market and the company's budget may also impact salary ranges for Hadoop Data Engineers in Pune.

HSBC Holdings Plc operates as a holding company for the HSBC Group. It provides banking and financial services through four global businesses, including Retail Banking and Wealth Management, Commercial Banking, Global Banking and Markets and Global Private Banking. The company's operating segments are organized into six geographical regions, including Europe, Hong Kong, Rest of Asia Pacific, Middle East and North Africa, North America and Latin America.