Company Name:-
Amadeus

Job Location:-
Bengaluru, Karnataka

Job Summary:-
Summary of the Role
We are looking for an Engineering Manager to join this special team as a hands-on manager for the and lead the evolution of key Amadeus Search, Shopping & Pricing systems with specialization in Data Analytics and Data Engineering; you will have very strong technical, team, project management capabilities to systematically lead & manage a Data product engineering team.

You will own the committed deliveries , Aligning & steering the Product roadmap, Coaching & Mentoring the team on long term & short term deliveries, architecture, designs & forward looking solutions coordinating with Architects and Global stakeholders.

We expect you to be able to learn new technologies, engage & transform the team through creative & thoughtful leadership, critically assess trade-offs and become a trusted partner in areas of responsibility and inspire team members.

Main Responsibilities
Responsible for leading & managing a Data Product Engineering team and being the prime touchpoint fronting the team for Engineering Deliveries, Coordination with QA, Product Management and Global stakeholders.

Propose, Drive & Lead in Architecture & Design Review Boards, Design and develop modules & artefacts for Amadeus products, platform components in concert with Architects and Tech Leads in the team.

Guide and mentor Data scientists, Engineers, developers, business analysts & quality engineers for architecture, coding, design, and production OLTP & OLAP grade craftsmanship.

Full stack Engineering ownership from requirement to Release Integration including automation of technical insurance tests during the delivery process.

Implement & automates compliance to Functional & Non-Functional Requirements as defined in Amadeus standards.

Lead & Manage
Development, design and sustenance of data product engineering including maintain technical high level and Low level design artefacts
Solutioning to customer needs, issues, prioritize and ensure delivery.

Own the process adherence and agility best practices.

Implementation of Streaming & Batch Analytics data engineering & processing pipelines, Leverage open source and set standards working with internal architectural governance bodies.

Create meaningful best practices and engineering e

FOR MORE DETAILS CLICK BELOW LINK

Click Here For More Details