Data Engineer - MS Fabric
Job Description
Role : Senior Data Engineer - Singapore
Candidate must have valid work pass or (PR and Citizen are highly preferred)
The Senior Data Engineer plays a critical role in designing, developing, and maintaining scalable data infrastructure and pipelines. This position supports data-driven decision-making across the organization by ensuring data quality, accessibility and performance.
If you're interested in this role kindly share your updated resume with all mentioned skills at [Confidential Information] or reach me out in +65 3125 2778 or whatsapp at +91 8807225510
Mandatory Skills :
End-to-End knowledge, including data ingestion from enterprise tools such as SAP, Oracle, and Salesforce, followed by data loading, transformation, Build Gold Table and Power BI report development from the Gold Layer.
Roles and Responsibilities
Data Pipeline Development:Design, build, and maintain robust, scalable data pipelines using tools like Apache Airflow, Kafka, and Spark.
Data Architecture:Develop and optimize data models, data warehouses, and ETL processes to support analytics and machine learning initiatives.
Collaboration:Work closely with data scientists, analysts, and software engineers to understand data requirements and deliver tailored solutions.
Data Quality & Governance:Ensure data integrity, implement validation checks, and enforce data governance policies.
Performance Optimization:Monitor and improve data processing speed, system uptime, and query performance.
Leadership & Mentorship:Guide junior engineers, promote best practices, and foster a culture of continuous learning.
Innovation & Research:Stay updated with emerging technologies in AI, automation, and data streaming; lead initiatives to integrate them into existing systems.
Other duties as required.
Desired Skills and Experience
Bachelor's or master's degree in computer science, data science, information technology, or a related field, with 6+ years of experience.
Proficiency inSQL,Python, andETL/ELT tools
Experience in Microsoft solutions are as follows:
o Azure Data Factory o Microsoft Fabrico Azure Synapse Analyticso Azure Databrickso Power BIo Azure SQL Database / SQL Servero Azure Purview
Experience withbig data technologies(Hadoop, Spark)
Familiarity withcloud platforms(Azure, AWS, and GCP)
Strong understanding ofdata modelling,data warehousing, andstream processing
Knowledge ofdata security,compliance, andgovernance
Knowledge of CI/CD pipelines using Azure DevOps
Understanding of data security and compliance (e.g., GDPR, HIPAA)