Data Engineer

Rapsys Technologies Pte Ltd.; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

A technology solutions provider in Singapore is hiring a skilled Data Engineer to design and maintain robust data pipelines. You will automate processes using Azure and AWS and analyze data to improve quality. The ideal candidate has a Bachelor's degree in computer science and at least 4 years of experience in data engineering. You'll work with tools like Power BI and Apache Spark to drive data-driven initiatives.

Qualifications

• Minimum 4 years’ experience in Data Engineering.
• Knowledge of Data Lake, Data Warehousing, Apache Spark, RDBMS, NoSQL.
• Strong Business Analyst skills in requirement analysis and data profiling.

Responsibilities

• Collaborate on data requirements, develop reports and dashboards.
• Design and develop end-to-end data pipelines for applications.
• Automate data pipelines using cloud technologies.

Skills

Python

SQL

Spark

Data Visualization

DAX programming

Education

Bachelor’s degree in Computer Science, Computer Engineering, IT

Tools

Azure

AWS

Databricks

Data Factory

Power BI

Tableau

Job description

Overview

We\'re Hiring: Data Engineer!

We are seeking a skilled and experienced Data Engineer to design, build, and maintain robust data pipelines and infrastructure. The ideal candidate will have expertise in data processing, ETL workflows, and cloud technologies to support our data-driven initiatives and enable seamless data flow across the organization.

Location: Singapore, Singapore
Work Mode: Work From Office
Role: Data Engineer

Key Responsibilities

• Collaborate across workstreams to support data requirements, including the development of reports and dashboards.

• Analyze and perform data profiling to identify patterns, discrepancies, and improvements in line with Data Quality and Data Management processes.

• Design and develop end-to-end (E2E) data pipelines: ingestion, transformation, processing, and surfacing of data for large-scale applications.

• Automate data pipelines using Azure, AWS data platforms, Databricks, and Data Factory.

• Translate business requirements into technical specifications for project design and delivery.

• Perform data ingestion in batch and real-time via file transfer, APIs, data streaming (Kafka, Spark Streaming).

• Develop ETL processes using Apache Spark to meet data transformation and standardization needs.

• Build data exports, APIs, and visualizations using Power BI, Tableau, or other visualization tools.

• Ensure alignment with best practices in data governance, security, and architecture.

Qualifications & Experience

• Bachelor’s degree in Computer Science, Computer Engineering, IT, or related fields.

• Minimum 4 years’ experience in Data Engineering.

• Strong skills in:

  • Programming & Data Engineering: Python, SQL, Spark

  • Cloud & Data Platforms: Azure, AWS, Databricks, Data Factory

  • Architecture: Data/Solution Architecture, APIs

• Data Visualization Skills: Power BI (preferred) or equivalent tools, DAX programming, data modeling, storytelling, and wireframe design.

• Business Analyst Skills: Requirement analysis, data profiling, basic data model design, SQL programming, business knowledge.

• Knowledge of Data Lake, Data Warehousing, Big Data tools, Apache Spark, RDBMS, NoSQL, and Knowledge Graphs.

Ready to make an impact? Apply now and let\'s build the future of data together!