Data Engineer (Pooling)

Position Summary

Role and Responsibilities

• Development, test and maintenance of Big data architecture in AWS/GCP
• Development of monitoring tool of Analytics application using Java or Python
• Monitor, troubleshoot and resolve issues in the data pipeline
• Write large amounts of code, perform code reviews, write unit tests
• Create quick prototypes and proof-of-concepts applications
• Actively participate in an Agile team
• Research new approach, solutions, and architecture that can contribute to the project’s improvement and evolution
• Ideate, innovate, and implement improvements and automation of current systems and processes

Skills and Qualifications

• Hands-on experience working in data warehousing, data architecture and/or data engineering environments at an enterprise scale
• Experience in managing Big Data Services in  AWS  (or GCP)
• Experience implementing and working with workflow scheduler like   Airflow, Oozie 
• Python  (Pyspark) programming experience is necessary
• Experience writing complex SQL  (MySQL, Postgres, Hive, etc)  queries
• Experience in creating API services using Kubernetes is a plus
• Advance knowledge of code versioning tools such as Git
• Knowledgeable on web security and performance
• BS, MS in Computer Science/Engineering or equivalent experience
• Excellent written and verbal communication and interpersonal skills, able to effectively collaborate with technical and business partners
• Able to work independently on assigned research topic and share output by writing research papers, conducting lecture sessions and demos
• Can easily adapt to latest technologies and tools
• Willing to learn and solve highly challenging algorithm coding problems in Java/C++

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