Data Engineer III

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Data Engineer III

Our team is looking for a highly motivated, self-driven , talented and experienced Data Engineer to join our dynamic team and drive the development and maintenance of our data platform. You have at least 7 years of experience as a Data Engineer. An independent thinker, who works around problems and who isn’t shy of trying new technologies. Prior experience in working harmoniously with cross-geography team will be an added advantage. You should be equally appropriate in development, test, debugging roles and be ready to wear many hats. This team values “fail-fast” learners and technology enthusiasts who view learning new technology as a fun experience.

What you will do:

• Designing, developing, deploying and managing high volume/high transactional mission critical SQL/No SQL systems.

• Design, build, and maintain scalable data pipelines and ETL processes Data Warehouse solution.

• Develop and optimize data models for efficient storage and retrieval.

• Implement and manage data lakes and warehouses using Spark, Scala, and Hive technologies.

• Demonstrate deep knowledge of optimization techniques and fine tuning SQL queries and stored procedures.

• ETL pipeline orchestration and build using Airflow, Jenkins, Github actions etc..

• Lead database upgrade efforts in AWS environment

• Disaster Recovery planning and Implementation.

• Define actionable KPIs and configure monitoring/alerting.

Who you are:

• 7+ years’ experience with managing high transaction volume SQL/No SQL systems like SQL Server, MySQL, PostgreSQL, Teradata

• Proficient in writing complex SQL queries , joins and stored procedures.

• Proven experience as a Data Engineer or similar role.

• Experience with Spark batch and stream processing and exposure to other bigdata technologies.

• Strong experience in writing spark jobs in Scala and using Hive for data processing and analysis

• Strong understanding of data warehousing concepts and best practices.

• Proficiency in data modelling concepts and can define data elements, relationships, constraints, and rules to ensure data integrity and optimize data storage and retrieval.

• Experience with Apache Iceberg, Delta, and Parquet table formats.

• Excellent problem-solving skills and attention to detail.

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

• Demonstrable experience and knowledge in DWH concepts and ETL tools like Informatica

• Strong experience , Strong aptitude for building robust, automated processes and tools

• Amazon AWS experience, particularly RDS, EC2 and Aurora

• Experience in a Linux environment, and familiarity writing shell scripts

• Able to troubleshoot and resolve complex production issues

• Experience with Python or other scripting language

• Experience with Grafana, Splunk, Datadog , CloudWatch or PagerDuty

• Amazon RedShift experience - Nice to have

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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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.