Lead I - Data Engineering_Azure Data Engineer
UST (company site, opens in a new tab)5–10 yrsPuneOn-siteDirect career pageEst. 15–30 LPA
Posted on 28 Sept
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Job description
Structured overview of role & requirements
About This Role
- Own development and implementation of data engineering solutions using Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.
- Design and manage data pipelines and data integration workflows leveraging Azure cloud services including ADLS Gen2 and Azure SQL Database.
- Incorporate Infrastructure as Code practices (Terraform, ARM Templates) and manage real-time data processing systems using Azure Event Hub and Stream Analytics.
Minimum Requirements
- 5 to 10 years of relevant experience in data engineering.
- Proficiency in Azure Services: Azure Data Factory, Azure Databricks, Azure Synapse Analytics, ADLS Gen2, and Azure SQL Database.
- Experience with Infrastructure as Code tools such as Terraform and ARM Templates.
- Work Experience Required: 5-10 years as explicitly mentioned.
Ideal Candidate Profile
- Experienced with Databricks Delta Live Tables and Synapse Pipelines for advanced data workflows.
- Familiarity with data governance tools like Azure Purview and real-time data processing on Azure platform.
- Strong skills in Apache Spark, Python, SQL, PySpark, and ETL processes indicating hands-on technical expertise in Azure Data Engineering environments.