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