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Data Engineering Analyst
2 weeks ago
Title: Data Engineering Analyst
Location: Gurugram
Skills:-Scala, Airflow, Spark, Hive, Hadoop, Data engineering concepts
Our mission is to partner with our Machine Learning Science counterparts to use AI/ML to collaboratively transform data assets into intelligent and real-time insights to support a variety of applications which are used by 1000+ market managers, analysts, our supply partners, and our travelers. Our work spans across a variety of datasets and ML models and across a diverse technology stack ranging from Spark, Sagemaker, Airflow, Databricks, Kubernetes, AWS and much more
What you will do:
- Work in a cross-functional team of Machine Learning engineers and Machine Learning Science to design and code large scale batch and real-time ML pipelines
- Prototype creative solutions quickly by developing minimum viable products and work with seniors and peers in crafting and implementing the technical vision for the team
- Communicate and work with geographically distributed cross functional teams
- Participate in code reviews to assess overall code quality and flexibility
- Resolve problems and roadblocks as they occur with peers and help unblock junior members of the team. Follow through on details and drive issues to closure
- Define, develop, and maintain artifacts like technical design or partner documentation
- Drive for continuous improvement within an agile development team
- Participate in user story creation in collaboration with the team
- Support and troubleshoot data and/or system issues as needed
Who you are:
- Degree in software engineering, computer science or a similar field.
- Comfortable programming in Python and Scala (or Java)
- Knowledgeable in Big Data technologies, in particular Hadoop, Hive, and Spark.
- Experience in building real-time applications, preferably in Spark
- Good understanding of machine learning pipelines and machine learning frameworks such as TensorFlow and Pytorch
- Familiar with cloud services (e.g., AWS) and workflow orchestration tools (e.g., Airflow)
- Experience working with Agile/Scrum methodologies.
- Familiar with the e-commerce or travel industry.
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