Senior Time Series Data Engineer
1 month ago
About the Role
We are seeking a highly skilled Senior Time Series Data Engineer to join our team in Bangalore, India. As a Senior Time Series Data Engineer, you will be responsible for designing, developing, and implementing large-scale data processing systems that handle complex time series data.
Key Responsibilities
- Design and develop scalable data pipelines using KDB+ and Linux operating systems
- Collaborate with cross-functional teams to understand business requirements and deliver high-quality solutions
- Develop complex algorithms and optimize system performance using profiling and performance tuning techniques
- Maintain and improve existing systems, ensuring they meet evolving business needs
- Work closely with developers to ensure seamless integration of data processing systems
- Promote automation and best practices throughout the development lifecycle
Requirements
- 5+ years of experience in time series data engineering, with expertise in KDB+, Linux, and Shell scripting
- Proven track record of delivering large-scale data processing systems that meet stringent performance and scalability requirements
- Excellent communication and collaboration skills, with ability to work effectively with diverse stakeholders
- Familiarity with CI/CD tools, version control systems, and Agile methodologies
- Strong problem-solving skills, with ability to debug and optimize complex systems
About NTT DATA
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize, and transform for long-term success. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation, and management of applications, infrastructure, and connectivity.
What We Offer
- A competitive salary: ₹2,400,000 per annum (approximately)
- A comprehensive benefits package, including medical insurance, retirement plan, and paid time off
- Ongoing training and professional development opportunities
- A collaborative and dynamic work environment
- The opportunity to work on high-profile projects and make a meaningful impact on the organization
How to Apply
If you are a motivated and experienced time series data engineer looking for a new challenge, please submit your application through our website. We look forward to hearing from you.
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