Data Engineer
AbbottSalary not specified
Full Time
Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, Data AnalyticsIndustries
Requirements
- 5+ years of relevant software development industry experience building and operating scalable, fault-tolerant, distributed systems
- Solid experience with at least one programming language (e.g., Go, Python, C, C++, Rust or similar)
- Experience with at least one of the major Cloud Service Providers such as AWS, GCP or Azure
- Experience with storing, shipping, and retrieving large volumes of data efficiently using technologies such as ClickHouse
- Experience with technologies such as Kubernetes, Helm, ArgoCD, Temporal as well as infrastructure-as-code tools such as Terraform
Responsibilities
- Take an active part in determining the roadmap for the Product Metrics team
- Work closely within the team to deliver new features, iterate and improve them
- Design, build, operate, and maintain business-critical petabyte-scale systems
- Be responsible for the performance, reliability, availability and cost-efficiency of the Product Metrics systems
- Mentor and support other team members, participate in design discussions and collaborate with the team
- Be a part of on-call rotation and take ownership of the services you're running
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What are the key requirements for this Senior Cloud Engineer role?
Candidates need 5+ years of relevant software development experience.
Is this a remote position?
Yes, the role involves working in a fully remote environment.
What technical stack does the Product Metrics team use?
The stack is built using Golang, runs in Kubernetes, and is stored in ClickHouse.
What does the Product Metrics team do?
The team owns the collection, storage, and serving of metrics from customers' ClickHouse instances, building and maintaining a petabyte-scale platform that handles trillions of records.
What qualities make a strong candidate for this role?
Strong candidates show initiative, responsibility, ownership, customer focus, problem-solving skills, solid debugging abilities, excellent communication, and the ability to thrive in a fast-paced, fully remote team environment.
Clickhouse
High-speed column-oriented database management system
About Clickhouse
ClickHouse provides a high-speed, column-oriented database management system designed for developers and businesses that manage large-scale data. Its primary product processes analytical queries quickly by storing data from the same columns together, making it significantly faster than traditional row-oriented databases, especially in Online Analytical Processing (OLAP) scenarios. ClickHouse stands out from competitors by offering a free, open-source database that can be deployed on local machines or in the cloud, along with a fully managed service on platforms like AWS, GCP, and Microsoft Azure. The company's goal is to deliver a cost-effective solution that simplifies data management for its clients, as evidenced by user feedback highlighting substantial cost savings.
San Francisco, CaliforniaHeadquarters
2021Year Founded
$291.8MTotal Funding
SERIES_BCompany Stage
Data & Analytics, Enterprise SoftwareIndustries
201-500Employees
Benefits
Health Insurance
Unlimited Paid Time Off
Flexible Work Hours
Remote Work Options
Stock Options
Home Office Stipend
Risks
Redpanda Serverless poses a competitive threat in real-time data processing.
Integration challenges with PeerDB may delay expected benefits.
Dependency on Supabase could pose operational risks.
Differentiation
ClickHouse's column-oriented design offers superior speed for analytical queries.
The open-source model allows flexible deployment across various environments.
Integration with Grafana enhances data visualization capabilities.
Upsides
Partnership with Alibaba Cloud boosts presence in the Chinese market.
Acquisition of PeerDB enhances real-time analytics capabilities.
Launch of ClickPipes improves data processing efficiency for real-time updates.
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