Engineering Manager

Skip to main content Engineering Manager Perfios Bengaluru, Karnataka, India Apply Engineering Manager Perfios Bengaluru, Karnataka, India 1 day ago 195 applicants See who Perfios has hired for this role Apply Save Report this job Use AI to assess how you fit Get AI-powered advice on this job and more exclusive features. Am I a good fit for this job? Tailor my resume Sign in to access AI-powered advices Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. Sign in to evaluate your skills Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. Sign in to tailor your resume Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. Direct message the job poster from Perfios Himadri Sen Himadri Sen The best way to predict the future is to create one As the Engineering Manager - Data Engineering, you will be responsible for leading a team of data engineers to build, maintain, and optimize our data pipelines, warehouses, and infrastructure. You will collaborate with cross-functional teams to ensure the availability, reliability, and scalability of our data solutions, enabling data-driven decision-making across the organization.Key Responsibilities: Lead, mentor and grow a team of data engineers, fostering a culture of excellence and continuous improvement.Design, develop and maintain robust data pipelines, ETL/ELT processes and data warehousing solutions.Collaborate with data scientists, analysts, and product teams to understand data requirements and deliver scalable solutions.Ensure data quality, security, and compliance with relevant regulations.Drive automation and optimization of data workflows to improve efficiency and performance.Define best practices for data modeling, storage, and processing.Monitor system performance and troubleshoot data infrastructure issues proactively.Stay updated with the latest...