Senior Staff Data Engineer

Framework Ventures

Boston (MA)

On-site

USD 120,000 - 180,000

Full time

14 days+

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Job summary

OKX's Data Engineering team is seeking an experienced Data Engineer to own end-to-end data solutions across the data lifecycle.

You will design and maintain analytics-ready Data Marts, build batch and real-time pipelines, and work with SQL/NoSQL databases. This role requires 7+ years in data engineering and a strong cloud/data-warehousing background.

Qualifications

Bachelor’s degree in CS or related field.
7+ years of experience in Data Engineering with focus on data marts.
Strong experience with Spark and Flink.
Experience building both batch and streaming data pipelines.
In-depth knowledge of SQL and NoSQL databases and performance tuning.

Responsibilities

Design, build, and maintain analytics-ready Data Marts using star/snowflake schemas.
Partner with analytics and business teams to deliver trusted datasets.
Design and build robust data pipelines for batch and real-time streaming data.
Architect and design data infrastructure on cloud using industry-standard tools.
Ensure data integrity and scalability by enforcing data standards and monitoring.
Identify opportunities to improve products and services through data insights.

Skills

Spark

Flink

SQL

NoSQL

Data Pipelines

Data Marts

ETL

Data Modeling

Education

Bachelor's Degree in Computer Science

Tools

Hadoop

Hive

AWS

DataBricks

Ali Cloud DataWorks

Job description

Who We Are

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

At OKX, we believe that the future will be reshaped by crypto and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX 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. OKX is part of OKG, a group that brings the value of Blockchain to users around the world through our leading products OKX, OKX Wallet, OKLink and more.

About the Team

The OKX Data Engineering team is responsible for the whole data scope of OKG, from technical 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 OKX throughout the whole data lifecycle, including data ingestion, data ETL, data warehouse and data services. As a data engineer on 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 7+ 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
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

Benefits