We are looking for an experienced Azure Data Engineer with 8+ years of experience in Data Engineering, ETL/ELT development, Data Warehousing, and Azure Data Platform services. The ideal candidate should have strong expertise in Azure Data Factory (ADF), Azure Databricks, Azure Synapse, ADLS, Informatica PowerCenter, PySpark, and SQL to build scalable data integration and analytics solutions.

Key Responsibilities

Design, develop, and maintain ETL/ELT pipelines using Azure Data Factory and Informatica PowerCenter .
Build data integration solutions across multiple sources including databases, SAP, XML, and flat files.
Develop and optimize data pipelines using Azure Databricks, PySpark, and Azure Synapse .
Design and implement data lake architectures (Raw, Enriched, Curated layers).
Perform data modeling, data governance, metadata management, and data quality activities.
Optimize data processing performance and troubleshoot pipeline failures.
Develop technical design documents and support project deliverables.
Work closely with business, analytics, and project teams in an Agile environment.

Required Skills

8+ years of Data Engineering / Data Warehousing experience.
Strong expertise in:
- Azure Data Factory (ADF)
- Azure Databricks
- Azure Synapse Analytics
- Azure Data Lake Storage (ADLS)
- PySpark / Spark
- Python
- Informatica PowerCenter
- SQL Server / Oracle
- ETL / ELT Development
Strong understanding of:
- Data Modeling
- Data Warehousing
- Data Governance
- Metadata Management
- Master Data Management (MDM)
- Data Quality
Experience with Azure DevOps, ARM Templates, PowerShell, Azure Automation.

Preferred Skills

SSIS
Real-time Data Processing
Big Data Architecture
Enterprise Analytics & BI Solutions

Qualifications

[Some qualifications you may want to include are Skills, Education, Experience, or Certifications.]

Example: Excellent verbal and written communication skills

Senior Azure Data Engineer (ADF / Databricks / Informatica)

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