Senior Data Engineer in Noida, Uttar Pradesh, India

Published on CazVidat Balkrishn Joshi

Apply for Senior Data Engineer at Balkrishn Joshi in Noida, India. Full-time role designing scalable data pipelines and cloud solutions. 4-8 years experience re

Verified by CazVid2 weeks agoOpen until: Jul 6, 2026

Salary

₹2,200,000 per year

Location

Noida, Uttar Pradesh, IN

Employment type

Full time

Workplace

Not provided

Senior Data Engineer in Noida, Uttar Pradesh, India

₹2,200,000 per year

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Job description

Balkrishn Joshi is seeking a motivated Senior Data Engineer to join our team in Noida, Uttar Pradesh, India . This full-time role is ideal for a skilled professional passionate about designing, building, and maintaining scalable data infrastructure that drives business success. Key Responsibilities Design and implement robust data pipelines to efficiently process large datasets. Collaborate with data scientists and analysts to understand data requirements and deliver effective solutions. Monitor and optimize performance of existing data systems and workflows. Develop and maintain data models and frameworks ensuring data integrity and availability. Lead data quality initiatives and enforce best practices in data management. Support deployment and management of data storage solutions, including cloud platforms. Document processes, models, and tools to facilitate team knowledge sharing. Required and Preferred Qualifications Bachelor's or Master's degree in a relevant field. 4 to 8 years of experience in data engineering or related roles. Proficiency in Python and SQL programming languages. Experience with cloud services such as AWS, Azure, or Google Cloud for data storage and processing. Strong analytical and problem-solving skills with a focus on teamwork and technical leadership. Industry certifications in data engineering or cloud platforms are a plus. Join our collaborative environment where knowledge sharing and professional growth are encouraged. Senior Data Engineers report to the Data Engineering Manager and work closely with data analysts, scientists, and software engineers to achieve strategic goals.

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