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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:
compaction , Pyspark, Query Optimization, Azure Active Directory, Key Vault, SQL window functions, ADLS Gen2, canonical model, Production LLM embedding experience, Azure OpenAI, source-to-target data modeling, Python engineering, predicate pushdown, EDP data vault, medallion architecture, partitioning, Delta Lake, Azure Event Hubs, Managed Identity permissions, Parquet internals, Microsoft Fabric lakehouse engineering, CTEs
Skills:
Pyspark, Azure Functions, Agile Project Management, Data structures, Azure Databricks, Jira, Sql, Azure Data Factory, Confluence, Perl, Azure Synapse Analytics, Data Transformation, Python, Metadata dependency, Non-relational databases, Serverless Architecture, ADLS Storage Services, Relational Databases, Data pipelines, workload management
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:
T-sql, Azure Data Bricks, Ssrs, Pyspark, Python, Power Bi, Scala, SSIS, Azure Data Factory, Ssas, Dax, Azure Data Lake Store, Microsoft Fabric Pipelines, Warehouse, Dataflows, Delta tables, Azure Data Platform, Azure Analysis Services, Delta Lake operations, Gen2 Notebooks, Azure SQL DW, Azure Data Lake Analytics, Lakehouse, Azure SQL DB, Gen2 ADLS
Skills:
Pyspark, Azure Databricks, Sql, Nosql, Azure Functions, Terraform, Azure Synapse Analytics, Azure Cloud Services, Python, Azure DevOps, Azure SQL Data Warehouse, Azure Data Lake Storage ADLS Gen2, Azure Key Vault, Azure Event Grid, CI CD pipelines, Azure Event Hub
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