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Azure Data Engineer

No of Positions  No of Positions:   2

location Location: Gurgaon

date Tentative Start Date:   May 14, 2023

Work From Work From : Offsite

rate Rate : $ 6  -  8 (Hourly)

experience Experience : 8 to 12 Year

Job Applicants : 15
Job Views : 784
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Job Category : Information Technology & Services
Duration : 6-12  Month
Key Skills Required Skills
Azure Data Factory Data Lake Hadoop Spark Kafka/RabbitMQ Jenkins CICD
Description

• Design, Architect, Deploy and maintain solutions on the MS Azure using different Cloud & Big Data Technologies.
• Manage the full life-cycle of a Data Lake / Modern DWH solution from requirement gathering and analysis to platform selection, design of the architecture and deployment.
• Be responsible for implementing solutions which can scale on Cloud.
• Collaborate with a team of business domain experts, data scientists and application developers to develop BD solutions.
• Explore and learn new technologies for creative business problem solving and mentor a team of Data Engineers.

Required Experience, Skills & Competencies:
• Strong Hands-on experience in implementing Data Lake with technologies like – Data Factory (ADF), Azure Databricks, Azure Synapse Analytics / SQL DWH, Cosmos DB
• Experience of using big data technologies like Hadoop, Spark, Kafka, Hive, NoSQL – HBase / MongoDB / Cassandra, Impala, Sqoop etc.
• Strong programming experience either in Python is must.
• Experience of supporting BI and Data Science teams in consuming the data in a secure and governed manner.
• Very Good understanding and Experience of using CI/CD with Git, Jenkins / Azure DevOps.
• Experience of setting up cloud-computing infrastructure solutions.
• Hands on Experience/Exposure to NoSQL Database and Data Modelling
• 10+ years of technical experience with at-least 2 years on MS Azure and 2 year on Hadoop (CDH/HDP) ecosystem
• B.Tech/B.E from reputed institute preferred

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