Data Engineer II

3 weeks ago

gurugram, India Expedia Group Full time

Data Engineer II (BI)

Do you share a passion for technology and travel? Do you love working with a creative engineering team? If so, then this could be the opportunity you've been looking for. We believe in lean and agile-focused development. We are innovative, curious, and continuous learners, communicating our ideas and perspectives in an open and transparent environment.

EG Cost Platform team is looking for a highly motivated, self-driven, and experienced Data Engineer to join the dynamic team and drive the development and maintenance of our Cloud data platform.You will be working on designing & Implementing the Visualisation layer, Data Pipelines, collaborating with other engineers and stakeholders to evolve the cost platform, and implement solutions to support strategic and tactical team needs.

What you’ll do:

  • You will be a part of our development team and actively participate in all phases of the software development lifecycle, including requirements gathering, functional and technical design, development, testing and roll-out, and support

  • You will be primarily responsible for maintaining visualisation layer developing & optimising BI dashboards

  • Influence partners and stakeholders through communicating across various levels of the organization using Data Driven approach.

  • You will be involved in design, build, and maintain Data Pipeline and Data Products

  • You will drive data investigations across organizations to deliver a resolution of technical, procedural, and operational issues

Who you are:

  • 3+ years of hands-on experience in Data Engineering or Analytics Engineering Projects

  • Proficient in writing complex SQL queries

  • Proven experience in designing and building BI reports and dashboard using Tableau/Kibana

  • Experience in AWS is required.

  • Ability to analyse and identify pattern from data to manage users queries efficiently

  • Ability to work independently and collaboratively in a fast-paced environment

  • Experience in building data pipeline using PySpark/Scala, exposure to Big data and cloud ecosystem will be a huge plus

  • Experience in Cloud-FinOps will be a huge plus

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