Data Engineer: Real-Time Pipelines & Trusted Data

EPAM Systems; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

EPAM Systems in Singapore is seeking a Data Engineer to design reliable batch and real-time pipelines, turning messy data into trusted datasets for products and analytics.

You will collaborate with engineers and analysts to integrate data across platforms, build databases and APIs, and contribute to CI/CD in agile teams.

The role emphasizes performance, security and scalability while working with cloud-based data platforms and modern data tools.

Qualifications

• Production-grade data pipelines and data integrations (ETL/ELT) experience.
• SQL proficiency for transformation, validation and performance tuning.
• Python for data processing and automation.
• Experience with cloud platforms (AWS, Azure, GCP).
• Data modeling and storage patterns (data warehouse, data lake, data mart).
• Big data tools (Spark, Kafka, Hadoop).
• Familiarity with REST APIs and web protocols.
• Knowledge of data governance, access control and security best practices.

Responsibilities

• Design and deliver data tables, views and marts across data warehouse, data lake and operational data stores
• Build and maintain batch and real-time data pipelines using modern data processing frameworks
• Develop ETL and ELT workflows including extraction, cleansing, transformation and orchestration
• Integrate data from multiple systems in a scalable, compliant way
• Build and maintain Back-end APIs and database services that support applications
• Collaborate with project and product teams to deliver data-driven features end to end
• Improve quality through automated testing, code reviews and pair programming
• Contribute in Agile teams practicing CI/CD

Skills

SQL

Python

Cloud platforms

Data modeling

Big data tools

REST APIs

Security best practices

Tools

Snowflake

Apache Airflow

Selenium

BeautifulSoup

Job description

EPAM Systems in Singapore is seeking a Data Engineer to design reliable batch and real-time pipelines, turning messy data into trusted datasets for products and analytics.

You will collaborate with engineers and analysts to integrate data across platforms, build databases and APIs, and contribute to CI/CD in agile teams.

The role emphasizes performance, security and scalability while working with cloud-based data platforms and modern data tools.