Data Engineer/ Senior Data Engineer

Softvil Technologies Pvt Ltd; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A technology company in Singapore is seeking a Data Engineer to design and maintain data pipeline architecture, optimize data processes, and support various teams in data infrastructure challenges. The role requires advanced SQL skills, experience with big data, and strong analytic capabilities. Ideal candidates will thrive in a dynamic environment and possess excellent project management skills. This position offers opportunities for creating impactful data solutions.

Qualifications

• Advanced SQL knowledge with relational databases and various database systems.
• Experience in building and optimizing big data pipelines and architectures.
• Strong analytic skills for working with unstructured datasets.

Responsibilities

• Design, develop and maintain optimal data pipeline architecture.
• Assemble large, complex data sets that meet business requirements.
• Automate manual processes and optimize data delivery.

Skills

SQL knowledge

Big data pipeline experience

Root-cause analysis

Analytic skills with unstructured datasets

Project management

Data transformation processes

Cross-functional team collaboration

Job description

Data Engineer / Senior Data Engineer

Qualifications

• Advanced working SQL knowledge and experience working with relational databases, query authoring as well as familiarity with a variety of databases.
• Experience building and optimizing ‘big data’ data pipelines, architectures, and data sets.
• Experience performing root‑cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency, and workload management. Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Strong project management and organizational skills.
• Experience supporting and working with cross‑functional teams in a dynamic environment.

Responsibilities

• Design, develop and maintain optimal data pipeline architecture.
• Assemble large, complex data sets that meet business requirements.
• Identify, design, and implement internal process improvements: automate manual processes, optimize data delivery, redesign infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
• Work with stakeholders—including the executive and development teams—to assist with data‑related technical issues and support their data infrastructure needs.
• Create data tools for analytics and facilitate ML development using the data.