Big Data DevOps Engineer

Why we are recommending

• Working in an international team of professionals.
• An opportunity to participate in the development of financial technologies that will change the world in the near future.

Responsibilities

• Ensure performance and availability of big data infrastructure.
• Deploy and operate big data components according to business scenarios.
• Response to incidents promptly and identify potential issues.
• Keep learning big data technologies and continuously optimize performance, availability and scalability.

Qualifications

• 3+ years of Big Data DevOps experience.
• Familiar with data pipeline including batch ETL, realtime streaming and job scheduling.
• Hands on experience on big data components including Hadoop, Hive, Spark, Spark Streaming, Presto, HBase, Elasticsearch, Kafka, ZooKeeper, Redis, Airflow.
• Experienced in deploying, operating, monitoring, optimizing and troubleshooting large scale big data infrastructure.
• Proficient in shell scripting, Python and SQL.
• Experiences with AWS big data services is a plus.
• Team working, analytical mind, be optimistic, willing to accept challenges and quick response against incidents.
• English B2.

Company offers

• Do something meaningful; Be a part of the future of finance technology and the no.1 company in the industry.
• Fast moving, challenging and unique business problems.
• International work environment and flat organisation.
• Great career development opportunities in a growing company.
• Possibility for relocation and international transfers mid-career.
• Competitive salary.
• Flexible working hours, Casual work attire.

Hiring process

You will have test task and 3-4 interviews with the team.