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Job Title: Azure Data Engineer with Kubernetes and Linux knowledge.
Experience: 4-10 yrs
Location: Hyderabad, Deccan Park
Mode of interview: Walkin/ F2F
Date of interview: 11th July.
Job Description
We are seeking a skilled Azure Data Engineer with expertise in building scalable data solutions on Microsoft Azure. The ideal candidate should have hands-on experience with Azure Data Services, Terraform, and Linux environments to design, develop, automate, and optimize modern data platforms.
The candidate will be responsible for developing data pipelines, implementing Infrastructure as Code (IaC), managing cloud-based data solutions, and ensuring high availability, security, and performance of data platforms.
Key Responsibilities
Required Skills
Please send updated resume only who are interested to attend F2F interview on 11th July - [Confidential Information].
Job ID: 150857519
Skills:
Pyspark, Sql, Azure Synapse Analytics, Spark, Data Warehousing Concepts, Python, data modeling techniques, Azure SQL Database, Azure Data Factory ADF, large-scale data processing, Azure Data Lake ADLS Gen2, ETL ELT development, Azure Data Services
Skills:
data vault , Github, Devops, Powerbi, Docker, Data Lake, Databricks, Advanced Sql, Python, Azure ecosystem, Kimball techniques, Database design for analytic applications, Entra-ID, Meta data driven design, Key vault, dbt, CI CD pipelines, Data pipelines, ETL workflows
Skills:
Azure Data Factory, Pyspark, Azure Databricks, Python, Synapse
Skills:
Spark, Sql, Databricks, Azure Data Factory, Python, Azure Synapse, Pyspark, Kafka, ADLS
Skills:
snowflake , Restful Apis, Databricks, Test Automation, Continuous Delivery, Monitoring Tools, Devops, AWS, Automation Tools, Servicenow, Azure, Configuration management, Spark, Incident ticket tracking tools, Container As a Service, Reliability Engineering, Data As a Service, Fault Tolerant architecture, deployment planning, Agile Delivery
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