DirecciónAbout the role
You will be working as Data Analytics Engineer, closely collaborating with the team and our service consumers across the organisation.
Key Responsibilities :
Design, build and maintain data pipelines and impactful operational reporting solutions in close cooperation with developers, product / application owners and operation teams.
Ensure system security, data integrity, and high availability of the platform.
Keep up with technology trends and identify promising new solutions that meet our requirements.
Create technical support documentation and provide hands-on troubleshooting and consulting to our customers.
About the team
Our Logging & Monitoring squad develops and operates state-of-the-art logging, monitoring and event management platforms to collect application behaviour information, detect / limit service disruption and provide the associated reporting capabilities.
Our ambition is to help empower the developers, application and platform owners identify any growing risks, have a clear understanding of their SLAs, reduce the mean time to resolution and be ahead of the curve with regards to long term trends.
About you
Are you looking forward to seeing the next steps into bringing AIOps to a large organisation?
We are seeking a passionate person with excellent data engineering skills and proficient in Python, have expertise in distributed computing frameworks.
Experience in software development, continuous integration / deployment, and system engineering experience in large-scale, distributed cloud solutions.
Knowledge on system design, data structures, cloud storage and infrastructure systems
Strong understanding of data modelling and data architecture concepts
Strong experience in Python, Spark, PySpark and SQL
Passion for sharing knowledge, through interactive sessions as well as documentation.
Strong analytical and problem-solving skills, as well as the ability to focus on details without losing track of the bigger picture.
Excellent oral and written English skills, additional language skills are a plus.
You enjoy teamwork with the ability to take responsibility, be self-reliant and business value oriented while paying attention to detail.
Nice to have :
Experience in Palantir Foundry and Azure
Worked in agile projects using agile collaboration tools (e.g. Azure DevOps)
ML knowledge and MLOps / model operationalization
Processing Time Series Data e.g. InfluxDB / Elastic / Prometheus
Nobody is perfect and meets 100% of our requirements. If you, however, meet some of the criteria below and are curious about the world of observability we'll be more than happy to meet you!
About Swiss Re
Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient.
We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients.
This is possible thanks to the collaboration of more than 14,000 employees across the world.
Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking.
We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and / or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics.
In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.
