Big Data Engineer

4 - 9 years

0 Lacs

Posted:22 hours ago| Platform: Shine logo

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On-site

Job Type

Full Time

Job Description

Role Overview: As a Data Engineer with 4 to 9 years of experience, you will be responsible for data engineering design experience, including supporting with HLD review, LLD build out, and more. You will need to have Azure experience and be confident in working with Azure Cloud and Data Engineering capabilities such as ADLS Gen2, Synapse, and ADF. Your advanced SQL experience, including query writing, optimization, data aggregation, and stored procedures, will be crucial. Additionally, you will be writing data pipelines using Python and PySpark, and you should have experience in relational data model and data schema design. Understanding DevOps and CI/CD in the context of Data Engineering, as well as familiarity with working in a scrum environment and supporting scrum ceremonies, will also be part of your responsibilities. Key Responsibilities: - Data Engineering design experience - Azure experience with working on Azure Cloud and Data Engineering capabilities - Advanced SQL experience including query writing, optimization, and data aggregation - Writing data pipelines using Python and PySpark - Relational data model and data schema design experience - Understanding of DevOps and CI/CD in Data Engineering context - Familiarity with working in a scrum environment and supporting scrum ceremonies Qualifications Required: - Azure Pyspark Python certifications (Note: No additional details of the company were mentioned in the job description.),

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