Sr. Manager, Data Engineer
Leadership and Conducts day-to-day work and solves complex issues in own specific technical engineering area.
Shares deep domain and Industry knowledge between cross-functional teams.
Serves as a guide to others by sharing and helping junior associates in their duties.
Has recognized ability to fill in for peer engineering management as need arises.
Seeks mentorship opportunities for reports.
Extends outside of direct organization and collaborate with peers across a senior level organization
Partners with the business to have a clear understanding of how the technology stack is tied to business outcomes and our bottom line.
Anticipates and recognizes bottlenecks in work processes between teams and makes suggestions for ongoing improvement.
Leads implementation teams and ensures the successful execution of new ideas or approaches.
Coordinates with team to define the measures of success for process improvements.
Develops product phase-out planning in line with the product roadmap.
Determines different phase milestones and priorities in collaboration with product management peers.
Creatively tests and maintains software applications and related program supporting large scale real-time & batch data pipelines procedures by using a variety of software development tools following design and data requirements of customer.
Acts as a spokesperson for software design best practices for designing large scale real time and batch data pipelines/systems.
Researches and recommends frameworks and architectural/code design patterns.
Identifies areas of improvements within the code and suggests solutions.
Advocate for operational excellence (such as unit testing, establishing SLAs, programming for resiliency and scalability, data quality checks).
Has very broad knowledge of the entire product and data pipeline, and can help with any component, or type of issues.
Is well versed/has up-to-date knowledge of Data platforms and frameworks, cloud services, toolkits, methodologies.
What you'll do:
Gains insight into how customers utilize technology for their competitive advantage and applies this knowledge to suggest areas for improvement.
Conveys the right information to the correct parties to ensure that proposals for improvements are given the proper consideration and technical issues are resolved in a timely manner.
Contributes to product development by identifying industry change, listening to customer needs, capturing feedback and communicating that feedback to the business.
Stays informed on industry trends.
Examines inefficiencies in the existing stack operation and encourages engineers to improve them.
Bridges the gap in discussions between technology and non-technology workforce
Reports on team status faithfully and listens for suggestions to improve lagging project work.
Resource Planning & Optimization
Reviews the skill and expertise requirements to accomplish team goals and identifies staffing and talent resources to fill project roles.
Develops action plans for optimal resource utilization and manages resource usage among team.
Encourages others to assess the potential impact of resource decisions related to efficiency and cost reduction.
Ensures optimal FTE to contingent worker ratios are maintained on team.
Builds and Develops Individual & Team Talent
Guides individual contributors and managers to develop team and individual goals, provides regular and specific feedback, and assesses individual and team performance.
Encourages and supports education and professional development of individual contributors and managers.
Mentors individual contributors and managers by providing advice and recommendations based on own experience.
Shares domain and Industry knowledge between cross-functional teams.
Evaluates the full complement of team talent, identifies gaps, and implements action plans to fill gaps and drive achievement of goals.
Who you are:
8+ years of experience and Bachelor's in Engineering or equivalent.
3+ years People Management
Recruits at least 5 data engineers to own team.
Performance managed at least 3 individual cases.
Executes capacity planning/allocation of teams of 10 or more.
Manages individuals in different locations.
Leads more than 3 multi-quarter data engineering projects.
Experienced in working in at least 2 multi-quarter data engineering projects primarily in Java/Scala etc.
Formally mentored at least 3 individual contributors.
Built high performance, scalable data products in Streaming and Batch paradigm preferably in Kafka, Spark, SQL etc.
Drive technical design end to end of at least 3 data engineering projects.
Initiated, socialized and executed upon at least 3 non-trivial changes that benefited the larger engineering community.
Able to justify Justifies technology choices to technical and non technical observers.
Responsible for multiple technical domains.
Makes well defined technology choices.
Mentors team members. Defines teams goals and how they fit a business need across multiple teams working together.
Delivers solutions to business problems spanning teams.
Delivers and influences product roadmap, working in collaboration with product team.
About Expedia Group
Expedia Group (NASDAQ: EXPE) powers travel for everyone, everywhere through our global platform. Driven by the core belief that travel is a force for good, we help people experience the world in new ways and build lasting connections. We provide industry-leading technology solutions to fuel partner growth and success, while facilitating memorable experiences for travelers. Expedia Group's family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™.
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