Data Engineer

We're seeking a skilled and motivated Data Engineer to design, build, and maintain scalable data pipelines and infrastructure that power analytics, reporting, and business intelligence. You'll work cross-functionally with data scientists, analysts, and engineers to ensure clean, reliable, and accessible data.

Responsibilities:

• Build and maintain ETL/ELT pipelines for data ingestion and transformation
• Develop scalable data infrastructure (e.g., data lakes, warehouses)
• Ensure data quality, integrity, security, and compliance
• Collaborate with teams to gather requirements and support data-driven projects
• Optimize data workflows for performance and cost efficiency
• Create and manage data models, schemas, and metadata
• Monitor and resolve production data issues

Requirements:

• 2 years of experience as a Data Engineer or in a similar role
• Strong SQL skills and experience with both relational and NoSQL databases
• Hands-on with tools like Airflow, Spark, Kafka, dbt, and FFmpeg
• Proficient in Python, Scala, or Java
• Experience with cloud platforms (AWS, GCP, or Azure) and services like Redshift, BigQuery, or Snowflake
• Solid understanding of data warehouse architecture and best practices

(EA Reg No: 20C0312)

Interested candidates may whatsapp your resume to 6421 4952 for a quicker response.

Otherwise, please email a copy of your detailed resume to qianyu@talentsis.com.sg for immediate processing.

Only shortlisted candidates will be notified.