Senior/Staff Data Engineer, Analytics and Reporting

United States Digital Space LLC; Singapore; On-site; SGD 80,000 - 110,000; Full time

Job summary

United States Digital Space LLC is seeking a Data Engineer to enhance its data capabilities, using cutting-edge technologies to support evidence-based decision-making. The ideal candidate has at least 4 years of Data Engineering experience with a strong focus on Data Marts and knows SQL, Spark, and Flink.

This role involves designing data pipelines and ensuring data integrity and scalability. Beneficial skills also include experience with NoSQL databases and Big Data tools. Join us and contribute to shaping a data-driven future!

Qualifications

• At least 4 years of experience in Data Engineering with focus on Data Marts.
• Solid experience with data processing tools such as Spark and Flink.
• Experience implementing batch and streaming data pipelines.

Responsibilities

• Design, build, and maintain analytics-ready Data Marts.
• Partner with analytics teams to deliver well-documented datasets.
• Architect data infrastructure using industry-standard tools.

Skills

Data Engineering

SQL proficiency

Data Marts

Experience with Spark

Experience with Flink

Education

Bachelor’s Degree in Computer Science

Tools

Spark

Flink

SQL Databases

NoSQL Databases

Data Analysis platforms

Big Data tools (Ali Cloud DataWorks, AWS DataBricks)

Job description

the company will be prioritising applicants who have a current right to work in Singapore, and do not require the company's sponsorship of a visa.

Who We Are

At the company, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. the company is a leading crypto exchange, and the developer of the company Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). the company is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. the company is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products the company, the company Wallet, OKLink and more.

About the team:

The the company Data Engineering team is responsible for the whole data scope of OKG, from techincal selection, architecture design, data ingestion, data storage, ETL, data visualization to business intelligence and data science. The team has end-to-end ownership of most of the data at the company throughout the whole data lifecycle including data ingestion, data ETL, data warehouse and data services. As a data engineer of the team, you will work with the team to leverage data technologies to empower evidence-based decision-making and improve the quality of the company's products and services.

Responsibilities:

• Design, build, and maintain analytics-ready Data Marts using best‑practice dimensional modeling (star/snowflake schemas)
• Partner with analytics and business teams to understand requirements and deliver trusted, well‑documented datasets
• Design and build resilient and efficient data pipelines for both batch and real‑time streaming data
• Architect and design data infrastructure on cloud using industry standard tools
• Ensure data integrity and scalability through enforcement of data standards. Improve data validation and monitoring processes to proactively prevent, identify and resolve issues
• Define, understand, and test external/internal opportunities to improve our products and services

Requirements:

• Bachelor’s Degree in Computer Science and at least 4+ years of experience in Data Engineering with significant focus on Data Marts
• Solid Experience with data processing tools such as Spark and Flink
• Solid Experience implementing batch and streaming data pipelines
• In-depth knowledge of both SQL and NoSQL databases, including performance tuning and troubleshooting
• Be proficient in SQL, familiar with advanced SQL features such as window functions, aggregate functions and creating scalar functions/user‑defined functions
• Proven successful and trackable experience in full end‑to‑end data solutions involving data ingestion, data persistence, data extraction and data analysis

Preferred Qualifications:

• Experience with Data Analysis platforms like Datawind
• Experience in Big Data tools such as Ali Cloud DataWorks, MaxCompute, AWS DataBricks, Hadoop, Hive, Spark and HBase