Data Engineer – Azure Data Platforms
IBM · Bengaluru
| Company | IBM |
|---|---|
| Role | Data Engineer – Azure Data Platforms |
| Location | Bengaluru |
| Work mode | Hybrid |
| Experience | 1–3 years |
| Job type | Full-time |
About this job
IBM Consulting is hiring a Data Engineer for Azure data platforms in Bengaluru. You will advise on, build and run batch and real-time data pipelines for clients on the Azure cloud.
The work uses Azure Data Factory, Synapse Analytics, Databricks and Event Hubs, with data layers on Synapse, SQL DW and Cosmos DB. Open-source tools such as Airflow, dbt and Spark with Python or Scala are also part of the stack. The role is hybrid.
Eligibility
- Hands-on experience with Azure Data Factory, Synapse, Databricks and Event Hubs
- Experience with ADLS Gen2, Blob Storage, SQL DW and Cosmos DB
- Spark with Python or Scala
- Exposure to Airflow and dbt
- Azure Functions in Python and Azure Purview are a plus
Skills required
What you will do
- Design, build and run batch and real-time pipelines on Azure
- Build the data layer on Synapse, SQL DW and Cosmos DB
- Set up and maintain Azure data platform components
- Use Airflow, dbt and Spark where they fit
- Keep pipelines running smoothly in production
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, the services used and the data volumes and latency involved.
Before the interview, prepare:
- ADF: pipelines, activities, triggers, parameters and integration runtimes
- Databricks: Delta Lake, MERGE, optimise and Z-order
- Streaming: Event Hubs with Spark Structured Streaming and checkpointing
- Synapse: dedicated vs serverless pools and distribution choices
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