Senior Data Engineer
OKX
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Skills named in this job
Read from the description itself, not inferred.
This role on the market
7,267 open data roles across 646 companies are on ApplySarthi right now, most of them in Bengaluru (415), Hyderabad (313), Mumbai (155).
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What data roles keep asking for: AWS (24%), SQL (22%), Python (22%) — counted across their open postings here.
Remote Data Engineer jobs · Machine learning jobs · Spark jobs
OKX has 342 open roles listed here.
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Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for data roles keep coming back to AWS, SQL, Python. Practise those questions before you sit with OKX.
Questions you are likely to be asked
- Why do you want to join OKX?
- What is your experience with Machine learning? Tell me one thing you learned the hard way.
- Walk me through a model you built, from the data to how it was used.
- How did you know your model was actually good, and not just good on your test set?
- Tell me about a time the data was messy or wrong. What did you do?
Prep Sarthi gives you a free mock interview: an AI interviewer asks you questions like these out loud, from your own CV and this job, and shows your score and your weakest answer.
Practise the Senior Data Engineer at OKX interview free →Who We Are
About the Team
Our company, specializing in blockchain and web3 technologies, places a high emphasis on security and reliability. We are seeking individuals who are deeply knowledgeable in operating systems, browsers, DApps, smart contract security, and programming language behaviors. Responsibilities include identifying potential risks such as private key storage and designing leakage prevention solutions.
What You’ll Be Doing:
- Design, develop, and maintain real-time and batch data processing pipelines using Flink, ensuring high performance and scalability.
- Responsible for the architecture design and development of Flink streaming systems, tailoring solutions to complex business requirements.
- Collaborate with data scientists to support feature engineering and develop feature stores for machine learning models in production.
- Work closely with cross-functional teams, including AI, compliance, risk, and engineering, to provide robust and scalable data solutions.
- Troubleshoot and resolve performance bottlenecks and technical challenges in real-time stream processing, ensuring system stability and scalability.
- Improve system performance and data integrity, addressing complex issues in real-time data pipelines.
What We Look For In You:
- Deep expertise in Apache Flink for real-time data streaming and processing, with experience in designing and developing streaming architecture.
- Familiarity with data platforms such as Alibaba Cloud Hologres, Doris/Clickhouse, and Spark.
- Experience in feature engineering and feature store development to support machine learning applications in production environments.
- At least 10 years of relevant work experience, especially in large enterprises or international Fintech companies
- Background in FinTech or blockchain companies.
- Strong English communication skills to work effectively in a cross-national team
- Bonus Points:
Experience in developing feature stores.
Experience with blockchain technology.
- Bonus Points:
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Listed on greenhouse · posted 2026-04-01. ApplySarthi collects openings and links to application pages; the role is advertised by OKX, not by us.