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.
Solid SQL and data transformation skills.
Experience with Azure Data Lake Storage Gen2 and Azure SQL/equivalent databases.
Valuable 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