Data Engineer – Azure Data Platforms (Bengaluru)
IBM · Bengaluru
| Company | IBM |
|---|---|
| Role | Data Engineer – Azure Data Platforms (Bengaluru) |
| Location | Bengaluru |
| Work mode | Hybrid |
| Experience | 1–3 years |
| Job type | Full-time |
About this job
IBM Consulting is hiring a Data Engineer in Bengaluru to work on data platforms built on Microsoft Azure. You will advise on, build and maintain data engineering solutions for IBM's clients.
The job is about batch and real-time pipelines using Data Factory, Databricks, Synapse and Event Hubs, plus the data layer on Synapse, SQL DW and Cosmos DB. Open-source tools such as Airflow, dbt and Spark with Python or Scala are part of the toolkit. The role is hybrid.
Eligibility
- Hands-on Azure data services: Synapse, Data Factory, Databricks and Event Hubs
- Experience with ADLS Gen2, Blob Storage, Azure Functions in Python and Purview
- Working knowledge of Spark with Python or Scala
- Exposure to Apache Airflow and dbt
- Comfortable working hybrid from IBM's Bengaluru office
Skills required
What you will do
- Build and run batch and streaming data pipelines on Azure
- Design the data layer in Synapse, SQL DW and Cosmos DB
- Implement and maintain Azure data platform components
- Use Airflow, dbt and Spark where they fit the solution
- Keep pipelines reliable and fix failures quickly
How to apply
- Open the official IBM job page with the Apply button and submit your application there.
- Tailor your resume to Azure pipelines you built, batch or streaming, and the Azure services you used.
Before the interview, prepare:
- Data Factory: pipelines, triggers, linked services and parameters
- Batch vs streaming: Event Hubs with Spark Structured Streaming
- Synapse: dedicated vs serverless pools and when to use each
- dbt and Airflow: models, tests and DAG scheduling
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