DATA ENGINEER

Design, develop, and maintain end-to-end data pipelines for data lakes and data warehouse solutions.
Work with Azure Data Services, including Microsoft Fabric and Azure Data Factory (ADF), to build scalable data integration solutions.
Develop and optimize data ingestion, transformation, and processing workflows.
Write efficient scripts using Python and PySpark for data processing and automation.
Design and implement robust data models for both transactional and analytical systems.
Perform database querying, tuning, and optimization for large and complex datasets.

Requirements

At least with 7+ Years of experience as Data Engineer
Strong hands-on experience in end-to-end development of data lakes and data warehouses.
Strong experience with Azure Data Services, preferably Microsoft Fabric.
Experience with Azure Data Factory (ADF) and/or Informatica Cloud (IDMC).
Strong programming skills in Python and/or PySpark.
Strong experience in data modeling and database design for transactional and analytical systems.
Strong database skills including querying, tuning, and performance optimization of large datasets.
Experience in Master Data Management (MDM), preferably in customer data domain.
Exposure to Big Data technologies and DataSecOps practices is an added advantage.

Candidates will be required to complete a technical assessment/test as part of the selection process.
Shortlisted candidates will proceed with a face-to-face interview.

Thanks & Best Regards,

Karanam Vijaya Kiran
EA Registration No.: R1443178
Mobile: +65 9233 3815
Recruitment Manager

Helius Technologies Pte Ltd
EA Licence No.: 11C3373

Job Description