Senior Cloud Data Engineer
3 weeks ago
Senior Cloud Data Engineer - Air flow
Location:
Remote
Project Duration: 12 months Contract
Interview:
Three rounds of Video interview
Job Description :
Primary Skills:
Air Flow, Big Query, Data Proc , Spark), Hadoop. Lead the Team. E2E Delivery
Secondary Skills:
Java, Unix Scripts, Oozie, Google Cloud Big Query & Big Table, Google Data Proc, Google Data Flow, Google Cloud Storage
As a Senior Cloud Data Engineer at Abode Techzone LLC, you will be responsible for leading the team in designing and implementing large-scale data processing systems using Google Cloud Platform. You will have experience in cloud environment, specially GCP, and have worked with technologies like Python, Hadoop, Spark etc. You will be responsible for building Data pipelines and doing data engineering activities, ensuring the upkeep of the Hadoop Data Lake Platform by monitoring the Horton Works HDFS, and working in an Agile/Scrum Environment. You will also be responsible for understanding the client requirements from Agile scrum user stories and developing low level design required for the user stories. You should have 2+ yrs of experience preferably from Telecom Domain and have worked as Java developer in the initial stage. You should also have experience in developing both batch and real-time streaming data pipelines and have experience as a tech lead for data engineering projects. You should be result oriented and able to match the pace of work demands of the Program through self-improvement. Preferably Google Cloud Certified Data Engineer.
Responsibilities:
Design and implement large-scale data processing systems using Google Cloud Platform
Lead the team in designing and implementing data pipelines
Ensure the upkeep of the Hadoop Data Lake Platform by monitoring the Horton Works HDFS
Work in an Agile/Scrum Environment and interact with a scrum team as well as the Client Stakeholders
Understand the client requirements from Agile scrum user stories and develop low level design required for the user stories
Develop complex SQL queries required to perform Data Acquisition and Ingestion required for Data pipelines
Build Data pipelines and do data engineering activities using technologies like Python, Hadoop, Spark etc.
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