Data Engineer III

2 months ago

Gurugram, India Expedia Group Full time

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:

  • 5+ 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

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