全职 Data Engineer 工作, 薪水 up to SGD 7,000, HORIZON DIGITAL MEDIA PTE. LTD. Islandwide (Singapore) 公司招聘中 - Ricebowl

Key Responsibilities

• Design, develop, and maintain robust ETL/ELT pipelines to ingest data from multiple sources (databases, APIs, flat files, streaming sources).

• Build and optimize data warehouses and data lakes to support business intelligence and analytics use cases.

• Ensure data quality, integrity, accuracy, and availability through validation, monitoring, and alerting mechanisms.

• Collaborate closely with Data Analysts, Data Scientists, and Business Stakeholders to understand data requirements and deliver scalable solutions.

• Optimize data processing performance, including query tuning and pipeline efficiency.

• Implement and maintain data security, access controls, and governance standards.

• Automate workflows and data operations to improve reliability and reduce manual intervention.

• Troubleshoot and resolve data pipeline, performance, and production issues.

• Document data models, pipeline architecture, and operational processes.

• Support data migration, integration, and modernization initiatives.

Required Skills & Qualifications

Technical Skills

• Strong experience with SQL and relational databases (e.g., MySQL, PostgreSQL, SQL Server, Oracle).

• Hands-on experience with Python (preferred) or Scala/Java for data engineering tasks.

• Proven expertise in building ETL pipelines using tools such as Apache Airflow, Talend, Informatica, or similar.

• Experience with Big Data technologies (e.g., Hadoop, Spark).

• Solid understanding of data warehousing concepts, dimensional modeling, and schema design.

• Experience working with cloud platforms (AWS, Azure, or GCP), including cloud-native data services.

• Familiarity with REST APIs, data ingestion, and integration patterns.

• Knowledge of version control systems (Git) and CI/CD practices.

Soft Skills

• Strong analytical and problem-solving abilities.

• Excellent communication and stakeholder coordination skills.

• Ability to work independently and within cross-functional teams.

• Detail-oriented with a strong focus on data accuracy and reliability.

Preferred / Good-to-Have Skills

• Experience with streaming platforms (Kafka, Kinesis, Pub/Sub).

• Exposure to BI tools (Power BI, Tableau, Looker).

• Knowledge of data governance, metadata management, and data cataloging tools.

• Experience supporting machine learning or advanced analytics pipelines.

Education

• Bachelor’s degree in Computer Science, Information Technology, Engineering, Mathematics, or a related field.

• Relevant certifications in cloud platforms or data engineering are a plus.