Senior Data Engineer: Build Scalable Pipelines in the Cloud

Tap Growth ai; Singapore; On-site; SGD 120,000 - 190,000; Full time

Job summary

Tap Growth ai in Singapore is seeking a Senior Data Engineer to design, build, and maintain scalable data pipelines and data infrastructure to support analytics and decision-making.

You will collaborate with engineers, product managers, data scientists, and analysts, applying best practices in data modeling, testing, CI/CD, and observability while working in an office-based environment.

Qualifications

• Proficient in Python and SQL with strong data modeling skills.
• Experience building and operating production-grade data systems.
• Expertise in enterprise data architecture and engineering.

Responsibilities

• Design data pipelines, architectures, models and reusable data capabilities.
• Apply engineering practices to improve reliability, security, observability and performance.
• Evaluate technologies and contribute to data architecture and engineering standards.
• Promote automated testing, code review, CI/CD and infrastructure-as-code.
• Collaborate with engineers, PMs, data scientists and analysts.
• Provide technical leadership through design reviews and mentoring.

Skills

Python

SQL

Data pipelines

Data warehouses

AWS

Redshift

Snowflake

Databricks

Data lakes

Lakehouse

Airflow

Spark

Tableau

Power BI

Tools

Apache Airflow

Apache Spark

Tableau

Power BI

Job description

Tap Growth ai in Singapore is seeking a Senior Data Engineer to design, build, and maintain scalable data pipelines and data infrastructure to support analytics and decision-making.

You will collaborate with engineers, product managers, data scientists, and analysts, applying best practices in data modeling, testing, CI/CD, and observability while working in an office-based environment.