Senior Data Engineer ( Informatica and Azure Data Factory)

As an Data Engineer, you will play a key role in designing, developing, and maintaining data integration processes and business intelligence solutions. You will work closely with our clients to understand their data needs and ensure the delivery of high-quality, scalable, and effective solutions.

Qualifications:

Senior Data Engineer (Informatica and Azure Data Factory)

Job Requirements:

1. Data Engineers with experience in Informatica, Azure Data Factory, Databricks, or Microsoft Fabric typically have responsibilities centered around designing, implementing, and managing data pipelines and architectures that support data integration, transformation, and analytics within a cloud-based or hybrid environment.
2. Design and implement ETL (Extract, Transform, Load) workflows using Informatica PowerCenter, Informatica Cloud, or Informatica Intelligent Cloud Services (IICS).
3. Build and manage ETL and ELT data pipelines using Azure Data Factory (ADF) to orchestrate data movement and transformation across on-premises and cloud environments.
4. Create and optimize Spark-based data pipelines in Databricks, using notebooks or jobs to ingest, clean, and transform large datasets for analytics and reporting.
5. Work with Microsoft Fabric to integrate and manage dataflows, datasets, and transformation processes across its unified data platform, helping build scalable data pipelines.

Interested candidates please share your updated copy of resume at ashwani@helius-tech.com.

To receive a quick response, kindly leave a message on the WhatsApp number +65 96310776.

EA Personnel Registration Number: R. No: R1114530

Singapore Employment Agency Licence No: 11C3373