Job Title:- Data Engineer (Azure Platform)

Location:- LTM Pan India

Experience:- 6+Years

Role Summary:

Design, develop, and support scalable data integration pipelines on Azure for ingesting, transforming, and delivering data to downstream analytics and reporting systems.

Key Responsibilities:

- Build and maintain data pipelines using Azure Data Factory (ADF).
- Implement batch and bulk ingestion from files, APIs, and relational/non-relational sources.
- Develop ETL/ELT workflows across Azure Data Lake, Azure SQL, and related services.
- Configure orchestration, scheduling, dependency handling, retries, and alerting.
- Apply data quality checks, reconciliation, and error-handling frameworks.
- Optimize performance, reliability, and cost of data pipelines.
- Collaborate with business and technical teams to translate requirements into data solutions.
- Support production operations, incident resolution, and SLA commitments.




- Enable CI/CD and release automation for data workloads using Azure DevOps or similar tools.

Required Skills:

- Hands-on experience in data engineering with robust exposure to Microsoft Azure.
- Practical expertise in Azure Data Factory.
- Strong SQL and data transformation skills.
- Experience with Azure Data Lake Storage Gen2 and Azure SQL/equivalent databases.
- Good understanding of pipeline monitoring, logging, and troubleshooting.
- Familiarity with security best practices (RBAC, Managed Identity, Key Vault).

Nice to Have:

- Experience with Azure Functions, Service Bus, Databricks, or Synapse.
- Exposure to reporting/BI ecosystems.
- Domain knowledge in Banking (e.g., regulatory reporting, customer/account data, transaction data flows).

📌 Data Engineer (Bengaluru)
🏢 LTM
📍 Bengaluru