Engineering Manager - Data Infrastructure - AWS/Python/Spark
Exploro Solutions
2d ago
source :

Responsibilities br>br> Work closely with Customers and onsite leads to prioritize and plan the work (Release and Sprint Planning)br>br> Facilitate Sprintrelease planning meetings, daily standups, reviews, demo and retrospectives, Backlog Grooming, DoD and Scope Negotiation.

br>br> Work with teams on a daily basis to identify impediments and Resolve them. Empower and Motivate them to deliver high quality products.

br>br> Track and Monitor Sprints, Provide Visibility with Sprint Level Metrics and Release Level>br> Work with teams on a continuous basis to improve the technology infrastructure and processes to increase developer productivity.

br>br> Hiring, Mentoring and curating the culture of a great team of engineers. br>br> Be a mentor and provide technical directions to the team.

br>br>Experience Bachelor's Degree with 12 to 15 years of>br>Skill Requirements br>br> Passionate about Technology.

Should have had a progressive career>br> Experience managing multiple teams (15 to 20 Members)br>br> Excellent interpersonal skills to negotiate with the stakeholders and coach the teams.

br>br> Experience in building, deploying and operating web applications using modern day stack (JavaScript frameworks, Microservices, NOSQL Databases, Containers) etc.

br>br> Experience in building and maintaining a Data Infrastructure in AWSAzureGCP Ecosystem, ETL pipelines using SparkScalaPython, etc.

will be an added advantagebr>br> Excellent work ethics. Commitment to building a strong engineering culture and attention to details.

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