The Data Infrastructure Engineer (SRE) is responsible for building and maintaining a data analytics platform, developing architecture, moving towards cloud-ready solutions, and managing monitoring systems. The role involves working with infrastructure and databases, utilizing automation tools, and contributing to the team's mission of making data-driven decisions using Big Data technology and Data Science.
We are looking for you, if you:
- are familiar with SRE concepts and System and application monitoring,
- have knowledge of infrastructure architecture and practices ,
- have good understanding of databases including RDBMS, non-SQL,
- are experienced with monitoring and observability (ELK stack) ,
- deployment and provisioning automation tools e.g. Docker, Kubernetes, Openshift, CI/CD are among your strengths,
- you have proven experience with Infra as code (Terraform, Ansible) ,
- Bash scripting and Linux systems administration are among your skills,
- are able to analyze, solve and correct issues.
English level - B2
You'll get extra points for:
- experience with distributed systems and clusters for both batch as well as streaming data (S3/Spark/Kafka/Flink),
- system design and architecture ,
- experience with Apache Airflow,
- programming in Python,
- experience with building distributed, large scale and secure applications,
- experience working in cloud environment (e.g. GCP),
- experience with working in an agile/scrum way .
Your responsibilities:
- building a platform and supporting its tenants,
- data analytics platform components maintenance,
- architecture development and experiments,
- preparing cloud-ready and IaC-based solutions,
- managing monitoring and alerting for the platform.
Information about the squad:
The Analytics Engineering team is a team that has the mission to make ING data driven. We do this by combining Big Data technology with Data Science to deliver high value solutions and products for our organization. We work in a fun and creative environment and we’re dedicated to bringing out the best in both each other and our projects.
The role naming convention in the global ING job architecture will be “Engineer IV”.
Top Skills
Ansible
Apache Airflow
Bash
Ci/Cd
Docker
Elk Stack
Flink
GCP
Kafka
Kubernetes
Linux
Openshift
Python
S3
Spark
Sre Concepts
Terraform
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