 
						Dataops Engineer
1 week ago
**Role Overview**:
We are looking for an ambitious, enthusiastic, and driven Data Operations Engineer to join the Data Operations team in Singapore. The team works closely with the Data Engineering team, primarily focused on monitoring a huge number of critical processes that every team in the business relies on. The team is also responsible for long term development of the monitoring platform, which technologies to use and how to better automate the creation and actioning of alerts.
The role is fast moving and varied, with plenty of opportunities to make our business more resilient and enable a high velocity of change.
**Responsibilities**:
- Taking responsibility for data quality, monitoring, and anomaly detection.
- Ingesting a large variety of different types of data.
- Digging into and exploring data; identifying features and issues; and communicating them to others clearly and concisely.
- Standardisation and development of monitoring methodologies, systems, tools and libraries, and promoting those standards to other teams across the firm.
- Automating and improving processes; owning and evolving our systems through pushing for changes that improve resilience and reliability.
**Requirements**:
- Broad technical knowledge, particularly with respect to the processing and exploration of data and an affinity for learning about new technologies.
- A passion for automation and continual improvement, with a track record of identifying high value automation opportunities.
- Intense focus on improving system availability and resilience through testing, standardisation and automation.
- Ability to build positive and collaborative relationships with colleagues across teams and geographies.
- Systematic and methodical approach to problem-solving and debugging.
**Technologies**:
- Experience with coding in Python / C# / Scala / Java / Go or equivalent.
- Experience working with a variety of data storage and manipulation tools such as SQL, Pandas, Elasticsearch & Kibana, Snowflake.
- Experience with containerisation and orchestration technologies like Docker / Kubernetes / HelM/Flux.
- Experience with various ETL/ELT technologies such as Airflow / Argo / Dagster / Spark / Hive
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