Data Engineer III
India - Gurgaon
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As a member of DataTuner team, you will design and develop solutions that will allow pipelines across EG data platform to run optimally and save costs. The tools and solutions thus developed will allow you to work across EG with multiple teams across geographies and potentially contribute to data community inside and outside EG.
An established performer who consistently applies software and data engineering principles to business contexts, proactively identifies inefficiencies in existing systems, leads small, well-defined projects and supports complex projects.
Who you are:
4+ years of experience in a Data Engineering role.
Bachelor's or Master's or equivalent experience. Technical degree preferred.
Built and maintained more than one data pipeline/data product in production environments (bug fixing, troubleshooting, monitoring, etc.).
Displays strength in a couple of programming languages relevant to data Java/Scala and Python.
Familiarity with spark and its internal with emphasis on various spark properties and their tuning.
Applies organizational technology patterns effectively in their projects and makes recommendations on alternate options.
Has hands-on experience working with large volumes of data including different patterns of data ingestion, processing (batch & real-time), movement, storage and access (for both internal and external to BU) and is able to make independent decisions within scope of project.
Displays a good understanding of data structures and algorithms.
Has hands-on experience working with at least 1 cloud technology and its offerings within the data specialization.
Understands and design moderately complex systems.
Has some familiarity with some data modeling and schema design patterns.
Tests, debugs and fixes issues within established SLAs.
Designs software that is easily testable and observable.
Strong knowledge of SQL/Mongo and/or related languages.
Past experience working on data pipeline tuning and/or cost optimization is an advantage.
What you'll do:
• Proactively teams up with peers across the organization to build an understanding of cross dependencies and shared problem-solving.
• Continually seeks new technical skills in an engineering area.
• Share new skills and knowledge with the team to increase effectiveness.
• Exhibits comfort working with several forms of technology.
• Understands the relationship between applications, databases and technology platforms
• Understands the importance of system and technology integration and the basic features and facilities involved in the integration process.
• Understand the importance of building and operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets.
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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Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals to whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs.
Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Distributed Systems Engineering Java Pipelines Python Scala Spark SQL
Perks/benefits: Career development Equity / stock options
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