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Hire a Data Engineer in Singapore to Build Scalable Data Systems

Hiring a Data Engineer in Singapore can be challenging, especially when data is at the heart of every business decision. At PERSOL, we make it easier by connecting you with skilled professionals who design, build, and maintain data pipelines that keep your systems running efficiently. Whether your goal is to manage massive datasets, move your infrastructure to the cloud, or make your analytics faster and smarter, our team helps you find the right Data Engineer to support your IT-driven growth.

Data Engineer Role Overview

What Does a Data Engineer Do?

A Data Engineer is crucial for the development and management of IT infrastructure that supports data collection, processing, and analysis at scale. On a day-to-day basis, they are responsible to design, and maintain data pipelines. They do this to enable smooth integration and delivery of data for analysis, reporting, and business decision-making. Not only that, they need to have the skills to collaborate closely with data scientists, analysts, and IT teams to ensure that data flows seamlessly across systems while maintaining quality, security, and compliance.

At PERSOL, we help you hire Data Engineers who have the right IT expertise to build and manage scalable data systems, supporting the complex needs of modern IT environments.

Key Responsibilities of a Data Engineer

When you hire a Data Engineer through PERSOL, we make sure we give you the best match and you can expect them to take on the following key tasks:

Designing & Building Data Pipelines

They should be able to design and implement scalable data pipelines that move information seamlessly across platforms and applications.

Data Storage & Management

We make sure that the experts that we match you with know how to create and maintain secure, efficient storage systems, from data lakes and warehouses to relational databases, ensuring information is easy to access when needed.

Data Transformation & Cleaning

e choose only the ones who are skilled and have a deep understanding on how to turn raw, unstructured data into clean, organized formats that analysts and business teams can confidently use for decision-making.

Automating Data Processes

They have the expertise to automate repetitive workflows, reducing manual effort and improving the overall speed and reliability of data operations.

Collaboration with IT & Data Teams

Working closely with other member in a etam is crucial for any organizations, rest assured that they are capable of working alongside data scientists, analysts, and engineers to align technical infrastructure with organizational objectives.

Data Security & Governance

The data engineers that you hire through PERSOL have the capability to maintain high standards of data protection, ensuring systems are compliant, secure, and consistent across all environments.

Optimizing Data Delivery

They know how to fine-tune data pipelines for speed and efficiency, ensuring large datasets can be processed and accessed in real time.

Support for Machine Learning Integration

Most of the time, they’re involved in enabling and managing machine learning workflows, ensuring models are well-integrated into data systems for smooth deployment and performance tracking.

Core Skills & Expertise

To make sure that your Data Engineer can effectively manage and optimize your IT data systems, one critical step that most overlook when they hire candidates is the ability to balance a mix of technical skills and analytical abilities. Here are the essential soft and hard skills that an effective Data Engineer should posses:

Hard Skills

Programming Proficiency: Skilled in Python, Java, Scala, or SQL, with the ability to write efficient code to build and optimize data pipelines.
ETL Frameworks: Experienced with ETL tools that automate how data is extracted, transformed, and loaded between systems.
Big Data Technologies: Hands-on experience with big data frameworks like Hadoop, Spark, and Kafka to manage large, distributed datasets.
Cloud Platforms & Data Warehousing: Comfortable with AWS, Azure, or Google Cloud, and experienced in managing cloud-based data warehouses like Redshift or BigQuery.
Data Modeling & Architecture: Strong understanding of structuring and modeling data efficiently to keep systems scalable and reliable.
Data Security & Compliance: Applies data governance and security principles to ensure compliance and protect sensitive information.

Soft Skills

Analytical Thinking: Brings a structured mindset to identify inefficiencies in data flow and improve systems to be faster and smarter.
Communication: Able to translate complex data architecture concepts into simple, layman-friendly language for stakeholders across business and IT teams.
Attention to Detail: Disciplined in checking and double-checking system accuracy to keep data consistent and trustworthy.
Adaptability: Stays curious and open-minded, always ready to learn new tools and technologies as data ecosystems evolve.
Time Management: Able to juggle multiple priorities while maintaining a steady pace to deliver reliable results on time.
Collaboration: Thrives in team environments, working closely with developers, data scientists, and analysts to keep data systems running smoothly.

Budget for a Data Engineer

Pipelines, warehousing, orchestration—data engineering rates depend on stack and complexity. Model your requirements and get a clear budget range in minutes.

Ready to Hire a Data Engineer?

At PERSOL, we specialize in helping companies hire Data Engineers who can build and maintain data infrastructures that supports IT systems. Our recruitment team have more than enough resources to be able to connect you with the most suitable talent for your IT needs.

Contact us today to hire a Data Engineer and support your organization’s data-driven initiatives.

 

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