Data Engineer III
- Expedia
- 7 - 9 years
- Bengaluru
- 9 months ago
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Job Description
- Design, build, and support scalable and durable data solutions that can enable self-service consumption use cases using cloud-based technologies in an agile manner.
- Develop scalable and highly performant distributed systems focusing on key metrics including availability, monitoring & resiliency.
- Monitor and optimize the performance of data processing applications, ensuring they meet throughput and latency requirements.
- Implement data quality checks and data governance practices to maintain data accuracy and consistency.
- Maintain clear and comprehensive documentation for data pipelines, code, and configurations.
- Support Expedia Group s product and business teams specific data needs on a global scale.
- Close partnership with internal partners from engineering, product, and business
- Build bridges between technical teams to enable valuable collaborations.
- Promote good development methodologies via code reviews, great software design, brown bags, or tech talks.
- Provide support to both internal and external team members where necessary.
Qualifications and experience:
- Bachelor s degree in computer science or related technical field or equivalent related professional experience
- 7+ years of proven experience in Big Data / distributed compute projects
- Bachelor s or master s degree in computer science, Engineering, or related field.
- Proven experience as a Data Engineer with experience on Spark and Kafka Streams.
- Strong understanding of data structures, data modeling, and software architecture
- Strong proficiency in Scala/Spark development.
- Experience with real-time data processing and building streaming applications.
- Proficiency in working with NoSQL databases like Cassandra, DynamoDB, or similar.
- Knowledge of data warehousing concepts and ETL processes.
- Familiarity with data modeling and data warehousing best practices.
- Excellent problem-solving skills and the ability to work in a collaborative team environment.
- Strong communication skills to effectively convey technical concepts to non-technical stakeholders.
- 3-4 years of practical experience in machine learning, data science, or a related field.
- Ability to work across multiple time zones (India, London & US), ensuring seamless collaboration with global teams and stakeholders.
- Exposure to ML-powered data pipelines for personalization, audience segmentation, or predictive analytics.
- Understanding of feature engineering and model deployment in production environments
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data EngineerEmployement Type: Full timeContact Details:
Company: ExpediaLocation(s): Bengaluru+ View Contact
Keyskills: Computer science Software design Data modeling Machine learning Agile Data structures Data processing Data quality Distribution system Monitoring
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