Senior Data Engineer (Perp DEX)

Hyphen Connect Limited; Singapore; On-site; SGD 80,000 - 110,000; Full time

Job summary

Hyphen Connect Limited in Singapore is seeking a seasoned Data Engineer to lead the development of robust data architectures. This role involves overseeing the end-to-end lifecycle of data, ensuring high-performance infrastructure to support a fast-paced business environment.

The ideal candidate will have 7+ years of experience in Data Engineering, proficiency in the modern data stack including Snowflake, and expertise in ETL processes. The position requires hands-on skills in AWS and data streaming technologies.

Qualifications

• Minimum of 7+ years in dedicated Data Engineering roles.
• Deep expertise in data architecture and warehouse design.
• Strong proficiency with AWS services.
• Hands-on experience with data streaming technologies.

Responsibilities

• Architect, build, and maintain scalable data pipelines.
• Enhance data warehouse performance and implement data quality frameworks.
• Collaborate with teams to translate business requirements into data solutions.
• Develop automated monitoring systems for pipeline performance.
• Execute ad-hoc data requests and analyses quickly.

Skills

Data Architecture

Data Pipeline Building

ETL Processes

AWS Proficiency

Kafka/Kinesis

Problem Solving

Tools

Snowflake

Airflow

dbt

Job description

Overview

We are representing a leading force in the decentralized exchange (DEX). We are seeking a seasoned Data Engineer to spearhead the development of robust data architectures. In this role, you will be responsible for the end-to-end lifecycle of data, from ingestion to insight, ensuring our infrastructure is both high-performing and scalable to meet the demands of a fast-paced business environment.

Key Responsibilities

• Design & Architecture: Architect, build, and maintain scalable data pipelines and sophisticated ETL processes to support complex data ecosystems.
• Infrastructure Optimization: Enhance data warehouse performance and implement rigorous data quality frameworks to ensure “single source of truth” reliability.
• Strategic Partnership: Collaborate closely with Product, Engineering, and Go-to-Market teams to translate business requirements into actionable data solutions.
• Operational Excellence: Develop automated monitoring systems to proactively identify and resolve pipeline bottlenecks.
• Agile Response: Execute high-priority, ad-hoc data requests and critical analyses with speed and precision to support urgent stakeholder decision-making.

Required Qualifications & Skills

• Professional Experience: Minimum of 7+ years in dedicated Data Engineering roles, ideally within a high-growth environment.
• Advanced Data Modeling: Deep expertise in data architecture, warehouse design (e.g., Star/Snowflake schemas), and modern ETL/ELT best practices.
• Technical Stack: Mastery of the modern data stack, including Snowflake, Airflow, and dbt.
• Cloud & Infrastructure: Strong proficiency with AWS services and experience managing distributed systems.
• Stream Processing: Hands-on experience with data streaming technologies such as Kafka or Kinesis to optimize large-scale workflows.
• Problem Solving: Proven ability to navigate ambiguity and deliver high-quality solutions under tight deadlines.