Data Platform Engineer

Req Technology Consulting

About Us

Founded in 2008 with a core expertise in database technologies, Req Technology Consulting, has grown into a premier technology consulting firm specializing in cloud, data, and AI solutions. Highly recognized for our technical excellence—including being named one of the "25 Most Promising Oracle Solution Providers" by APAC CIO Outlook—we partner with clients across industries to design, build, and operate scalable, secure, and data-driven platforms. Today, we leverage this strong infrastructure foundation to drive continuous innovation, helping organizations modernize their digital ecosystems and maximize the value of their data.

We foster a collaborative and inclusive work environment where continuous learning, technical mastery, and creative innovation are deeply encouraged. As we aggressively expand our capabilities into data analytics and cutting-edge AI fields for our business, we are looking for talented professionals who are passionate about working with the latest technologies, solving complex business challenges, and building the next generation of intelligent systems.

Role Overview

We are seeking a Data Platform Engineer to support the development and operation of scalable data pipelines and cloud-based analytics platforms. The role focuses on building reliable ETL/ELT workflows, managing modern data platforms, and enabling analytics and AI-driven use cases in collaboration with cross-functional teams.

Key Responsibilities

• Design, develop, and maintain data pipelines to ingest, transform, and serve data from multiple sources.
• Support batch and near-real-time data processing, ensuring data accuracy, freshness, and reliability.
• Assist in managing and optimizing data lakes, lakehouses, and data warehouses.
• Develop and optimize SQL and Python-based transformations for reporting and analytics.
• Implement basic data quality checks, logging, and monitoring.
• Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements.
• Participate in code reviews, testing, documentation, and CI/CD processes.
• Continuously learn and adopt modern data engineering and AI-enabled data practices.

Key Technical Skills & Responsibilities

• Strong working knowledge of Python and SQL for data processing.
• Experience building ETL/ELT pipelines using industry-standard practices.
• Familiarity with cloud data platforms such as:
• Snowflake
• Microsoft Fabric (OneLake, Lakehouse, Data Pipelines)
• AWS (Redshift, Glue) / Azure Data Lake / Google BigQuery
• Understanding of data modeling concepts (fact/dimension tables, star schema).
• Experience or exposure to orchestration and transformation tools such as Airflow, DBT, Spark, or Dask.
• Working knowledge of Git and CI/CD pipelines.
• Exposure to BI and visualization tools such as Power BI or Apache Superset.
• Basic understanding of cloud security, access control, and cost optimization.

Eligibility Criteria:

• Bachelor’s degree in computer science, Engineering, or a related discipline.
• Experience supporting or maintaining production data pipelines.
• Strong problem-solving skills and eagerness to learn new technologies.
• Good written and verbal communication skills.
• Ability to work effectively in a collaborative team environment.

Benefits:

• Health insurance
• Professional development
• Promotion to permanent employee

License/Certification:

• work authorization in Singapore without company sponsorship? (Required)

Work Location: In person