Reliable Data Architect and Engineer
hace 3 semanas
At Numberly, we help customers collect, analyze and leverage their data across all marketing channels. To do this, our company operates its own infrastructure split over multiple data centers.
We give ourselves the ability to operate multiple distributed databases and process billions of events every day at scale while optimizing cost and maintaining latency goals. Our sustained growth pushes us to constantly challenge our technical and organizational choices.
The DataOps team is mission critical as it stands between client business contexts, product delivery and operational teams supporting them. The team interacts with Project Managers, Owners and Data Engineers as well as Data Scientists.
The team's goal is ensuring that our Data platforms and technologies are reliable, performant and compliant with the highest security standards since they host clients' critical data and jobs. We need to solve complex problems in short windows of time so we rely heavily on automation.
We love Open-Source software and strive to redistribute to the community. If your dream job involves automating and solving complex problems related to data platform reliability, security and performance at scale and working with hundreds of software engineers who share the same goal, then this position is for you.
Your key tasks will include designing, creating, operating and maintaining large data architectures. You'll know when to leverage existing tools and when to develop something new. Interacting with other teams proactively solving scaling problems is also essential.
To be successful in this role, you should have at least 2 years operating database infrastructures in production. Deep knowledge of the Microsoft SQL Server ecosystem (with High Availability) and production experience with it is required.
Prior experience with PostgreSQL, MySQL and automated production systems (Ansible, Terraform or any infrastructure-as-code tooling) is beneficial. Troubleshooting skills and good communication abilities are necessary. A willingness to progress and help others progress technically and humanly is a plus.
You should also have past or present developer experience, preferably with Python or PowerShell. Additionally, having experience with our data ecosystem including SQL Server, PostgreSQL, MySQL, Cloudera Hadoop - HDFS / Hive / Spark2 / Spark3 / Hue, Apache Kafka, Scylla, MongoDB, Elasticsearch, Redis, Apache Airflow, Zeppelin, Jupyter, MinIO, Ansible, terraform, On-Premise infrastructure, Cloud infrastructure: AWS, Azure, Gitlab, Kubernetes, Prometheus, Elasticsearch, Graylog, Python, Go, PowerShell, Ubuntu is advantageous.
Some of the tools we're planning to work with include OLAP structures such as Clickhouse or Druid and graph databases like Neo4j or JanusGraph. We're also interested in Dataviz tools like Superset, Metabase and more. NewSQL databases benefits are another area we'd like to explore.
To succeed in this position, experience in automating and monitoring large-scale systems is beneficial as well as making Open-Source contributions. Estimated salary: $120000/year based on market research and location factors.
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