Azure Data Factory Engineer/Dell Boomi Development (Delhi)

Azure Data Factory Engineer/Dell Boomi Development (Delhi)

29 Aug
|
Multicloud4u Technologies
|
Delhi

29 Aug

Multicloud4u Technologies

Delhi

1. Azure Data Engineering

- Design, develop, and maintain scalable Azure-based data pipelines using Azure Data Factory.

- Build reusable and parameterized ADF pipelines, datasets, linked services, triggers, and orchestration frameworks.

- Implement batch ETL/ELT workflows for large-volume enterprise datasets.

- Develop ingestion pipelines from multiple sources including SFTP, SharePoint, APIs, and enterprise applications.

- Implement pipeline monitoring, error handling, retry mechanisms, and alerting.

- Ensure data pipelines meet defined performance and SLA requirements.

1. Azure Data Lake Storage

- Design and manage data storage structures using ADLS Gen2.

- Implement scalable storage strategies for enterprise data platforms.

- Organize data according to Bronze/Silver/Gold layers.

- Optimize file formats and storage layouts for analytical workloads.

- Support secure data movement between Azure services and external systems.

1. SQL & Data Engineering

- Develop complex SQL and T-SQL queries for data extraction and transformation.

- Develop and optimize stored procedures and database objects.

- Perform data validation, reconciliation, and quality checks.

- Troubleshoot query and pipeline performance issues.





- Optimize SQL queries and data processing logic for high-volume workloads.

1. Enterprise Integration

- Design and develop enterprise integrations using Dell Boomi and Azure integration services.

- Develop reusable integration components and centralized error-handling frameworks.

- Integrate systems through APIs, SFTP, SharePoint, and enterprise applications.

- Develop secure SFTP-based integrations using PGP encryption/decryption.

- Work with SAP SuccessFactors and downstream provider integrations.

- Handle employee lifecycle and other business-critical integration scenarios.

1. Azure Logic Apps

- Develop and maintain Azure Logic Apps workflows.

- Automate data ingestion and business workflows involving Email, SharePoint, ADLS, and SFTP.

- Implement event-driven and workflow-based automation.

- Configure notifications and alerts for pipeline and business-process failures.

Mandatory Skillset The following skills should be considered mandatory for this role:

Core Mandatory Skills

1. Azure Data Factory (ADF)

2. SQL / T-SQL

3. Cloud Integrations

📌 Azure Data Factory Engineer/Dell Boomi Development (Delhi)
🏢 Multicloud4u Technologies
📍 Delhi

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