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Data Engineering Lead /Director

Data Engineering Lead /Director

2 Months ago • All levels • Data Analyst

About the job

4 skills required for this role

Add these skills to join the top 1% applicants for this job

spark

aws

scalability

cross-functional

Job Description

Lead and design large-scale data warehouse models, optimize real-time data pipelines, and mentor the data team. Must have expertise in data warehouse modeling, big data architectures (Alicloud Dataworks/MaxCompute, AWS Spark, Databricks, StarRocks/Doris), and real-time data processing using Flink.

Must have:

Data Warehouse
Big Data
Real-time Data
Flink

Good to have:

Alicloud Dataworks
AWS Spark
Databricks
StarRocks/Doris

Perks:

Competitive Salary
L&D Programs

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

Who We Are

At OKX, we believe that the future will be reshaped by Crypto, ultimately contributing to every individual's freedom. OKX began as a crypto exchange giving millions of people access to crypto trading and over time becoming among the largest platforms in the world. In recent years, we have developed one of the most connected Web3 wallets used by millions to access decentralized crypto applications (dApps). OKX is a trusted brand by hundreds of large institutions seeking access to crypto markets on a reliable platform that seamlessly connects with global banking and payments. In the last year, OKX has expanded into new markets including Australia, Brazil, Netherlands, Singapore and Turkey, with plans to launch in the US, Belgium and the UAE.

We are deeply committed to shaping a fairer, more transparent and accessible society through blockchain technology. This is why we publish proof of reserves monthly, and continue to ship new innovative security features.

What You’ll Be Doing

Responsibilities:

Design and optimize large-scale data warehouse models to ensure scalability and stability.
Collaborate with cross-functional teams to drive upgrades and optimizations of the data warehouse model design.
Build and optimize real-time data pipelines, ensuring data timeliness and accuracy.
Lead and mentor the data team in day-to-day operations, driving technical advancements in the data warehouse field.

Requirements:

Strong familiarity with data warehouse modeling, with proven success in designing and remodeling large-scale data warehouses.
Expertise in various big data architectures, especially Alicloud Dataworks/MaxCompute and AWS Spark, Databricks, StarRocks/Doris
Familiarity with real-time data processing architectures, particularly in developing real-time data pipelines using Flink.
Strong cross-team communication and collaboration skills to continuously optimize the data architecture.