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 solid exposure to Microsoft Azure.

• Practical expertise in Azure Data Factory.

• Robust 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