Data Engineer (AI & Data)

apartmentToppan Ecquaria placeToa Payoh scheduleFull-time calendar_month11/6/26

Responsibilities:

Design and implement robust, scalable data pipelines and architectures to support data ingestion, processing, and storage. Including performance optimizations for data modeling and ingestion
Develop and optimize complex SQL queries and stored procedures for data extraction, transformation, and analysis.
Model data to meet different use cases for applications and automate data workflows.
Collaborate with data scientists and analysts to understand data requirements and deliver high-quality data solutions.
Lead the integration of data from various sources into data lakes and warehouses, ensuring data quality and consistency.
Monitor and troubleshoot data pipelines and workflows to ensure optimal performance and reliability.
Communicate with and support data users
Document data processes, data models, and architectural designs to ensure knowledge sharing and compliance with best practices.

Prerequisites:

Experience: Minimum 1 year in data engineering fields with system integration, and at least 1 year in system integration and implementation in cloud/web-based environments.
Proven Solutions: Demonstrated experience in providing effective, working solutions and implementations, particularly in cloud-based environments.

Technical Skills:

Solid understanding of ETL processes, data warehousing concepts, and data modeling best practices.
Proficiency in Databricks, Azure Data lake, PowerBI, Tableau and related data processing and visualisation software.
Familiarity with Windows, Linux, AWS and/or Azure platforms.
Strong programming skills in languages such as Python and R is a must
Experience in data processing frameworks (e.g., Apache Spark, Apache Flink)
Experience in using AI tools for data pipelines

Preferred Exposure:

Experience with Data Integration and ETL Pipelines, Data Warehousing and BI reporting projects.
Experience with Singapore Government Projects will be an added advantage

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