Manager - Data Enterprise [T500-10518] - Hyderabad, India - Inspire

    Inspire
    Inspire Hyderabad, India

    Found in: Talent IN 2A C2 - 1 week ago

    Default job background
    Retail
    Description

    Data Engineering Manager

    Summary

    RESPONSIBILITIES:

    • Manage a pod size of 10
    • Ensure that technical solutions are in line with company standards with respect to architecture, security, compliance, testing and product direction
    • Implement industry best practices and tools to continually improve teams' ability to deliver and maintain solutions
    • Attract, Mentor, guide, coach, coordinate training opportunities and support individual growth of direct reports
    • Lead and manage agile teams of data engineers, data analysts, architects to build, deliver, and support strategic commercial initiatives at scale.
    • Responsible for engineering of Inspire's enterprise data platforms, enabling value-driven business use cases and deep analytics.

    EDUCATION QUALIFICATIONS:

    • Bachelor's degree in computer science, data science, information science or related field, or equivalent work required
    • Graduate degree in computer science, data science, information science or related field, or equivalent work preferred

    EXPERIENCE QUALIFICATION:

    • 5 years' experience building and supporting large-scale and highly available technology solutions and directly managing or leading a team(s) of data engineers.
    • Experience in retail, restaurant, and / or eCommerce industry preferred
    • Working within an Agile development environment preferred

    REQUIRED KNOWLEDGE, SKILLS or ABILITIES:

    • Able to manage development team to deliverables: on time, scope and on budget
    • Experience working with distributed teams
    • Experience working with onshore and offshore team as well as with external vendor teams.
    • Able to present complex technical concepts to business partners and senior management
    • Experience leading teams with deep technical experience with enterprise development (e.g. Python, SQL) and technology platforms (e.g., Databricks, Spark, Snowflake, Azure)
    • Experience with establishing SDLC and Data Engineering best practices
    • Experience with leading fine tuning, scaling and monitoring.
    • Deep understanding of creating and integrating REST-based web services
    • Proficiency with source control and release technologies (e.g., Git and Azure DevOps) and practices (e.g., CI/CD and automation)
    • Good soft skills- able to work with business partners to understand the requirements, demonstrate solutions to business partners, gain commitment from business partners on their engagement/deliverables
    • Cross-Functional internal team exposure – has worked previously with Product, Design, QA and Delivery leads
    • Can help onboard and provide support to team members as they learn in their careers
    • Experience leading Agile / Scrum development teams