Data Engineer-Data Platforms-Azure
IBM
Bengaluru, Karnataka, India2h agovia LinkedIn
This job at a glance
- Who can apply
- Freshers · Master's degree
- Must know
- AzureETLSparkSQLPythonScala
- Work
- On-site in Bengaluru
- Pay
- Not stated by the employer.
- Skill demand
- SQL21%ETL3%of 33 similar fresher jobs posted in India this week
- Listed
- 8 Nov 2026 · still open
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About the Role
As a Data Engineer specializing in Data Platforms on Azure, you will advise on, develop, and maintain data engineering solutions on the Azure Cloud ecosystem. You will design, build, and operate batch and real-time data pipelines using various Azure services.
Key Responsibilities
- Design and Build Data Pipelines: Design, build, and operate batch and real-time data pipelines using Azure services such as Azure Synapse Analytics, Azure Data Factory, Azure DataBricks, and Event Hub.
- Develop Data Layer: Design, build, and operate the data layer on Azure Synapse Analytics, SQL DW, and Cosmos DB.
- Implement Azure Data Platform: Implement and maintain Azure Data Platform components, including ADLS2, Blob Storage, SQLDW, Synapse Analytics with Spark and SQL, Azure functions with Python, Azure Purview, and Cosmos DB.
- Utilize Open Source Technologies: Apply proficiency in open source technologies like Apache Airflow and dbt, Spark / Python, or Spark / Scala to support data engineering solutions.
- Ensure Seamless Operations: Operate and maintain data engineering solutions to ensure seamless batch and real-time data processing.
Requirements & Tech Stack
- Exposure to Azure Toolset: Proficiency in Azure services such as Azure Synapse Analytics, Azure Data Factory, Azure DataBricks, and Event Hub to design, build, and operate batch and real-time data pipelines.
- Data Engineering on Azure: Experience working with Azure Data Platform components, including ADLS2, Blob Storage, SQLDW, Synapse Analytics with Spark and SQL, Azure functions with Python, Azure Purview, and Cosmos DB.
- Open Source Technologies: Exposure to open source technologies like Apache Airflow and dbt, Spark / Python, or Spark / Scala to support data engineering solutions.
- Data Pipeline Development: Experience developing and maintaining data engineering solutions on the Azure Cloud ecosystem, including designing, building, and operating batch and real-time data pipelines.
- Azure Data Layer Design: Experience designing, building, and operating the data layer on Azure Synapse Analytics, SQL DW, and Cosmos DB.
Qualifications
- Preferred Education: Master's Degree