Data Engineer

The Role:

Key Responsibilities

• Lead the design and development of robust ETL workflows using Informatica/ PowerCenter/IICS/IDMC.
• Architect and implement scalable data sourcing strategies from diverse systems (on-prem, cloud, APIs).
• Ensure data quality, lineage, and governance across ingestion pipelines.
• Design logical and physical data models aligned with business domains and data product principles.
• Contribute to the architecture of enterprise data lakes and data platforms.
• Define standards for metadata, schema evolution, and data partitioning.
• Build and optimize data pipelines on Azure Data Services (Data Factory, Synapse, ADLS).
• Develop and manage Databricks notebooks and workflows for data transformation and analytics.
• Integrate cloud-native tools for monitoring, logging, and performance tuning.
• Implement CI/CD pipelines for data workflows using tools like Azure DevOps, ...