채용
Benefits & Perks
•Bonus
•Remote Work
•Remote Work
Required Skills
Data Modeling
ETL
SQL
Python
BigQuery
Dataflow
Dataproc
Please note that all emails from Calix will come from a @calix.com email address. If you receive a communication that you think may not be from Calix, please report it to us at talentandculture@calix.com.
This is a remote position that could be based anywhere in the United States.
Calix is leading a service provider transformation to deliver a differentiated subscriber experience around the Smart Home and Business, while monetizing their network using Role based Cloud Services, Telemetry, Analytics, Automation, and the deployment of Software Driven Adaptive networks.
As part of a high performing global team, the right candidate will play a significant role as Calix Cloud Data Engineer involved in architecture design, implementation, technical leadership in data ingestion, extraction, transformation and analytics.
Responsibilities and Duties:
- Work closely with Cloud product owners to understand, analyze product requirements and provide feedback.
- Develop conceptual, logical, physical models and meta data solutions.
- Design and manage an array of data design deliverables including data models, data diagrams, data flows and corresponding data dictionary documentations.
- Determine database structural requirements by analyzing client operations, applications, and data from existing systems.
- Technical leadership of software design in meeting requirements of service stability, reliability, scalability, and security
- Guiding technical discussions within engineer group and making technical recommendations. Design review and code review with peer engineers
- Guiding testing architecture for large scale data ingestion and transformations.
- Customer facing engineering role in debugging and resolving field issues.
Qualifications:
- This role may be required to travel and attend face-to-face meetings and Calix sponsored events.
- 10+ years of development experience performing Data modeling, master data management and building ETL/data pipeline implementations.
- Cloud Platforms: Proficiency in both Google Cloud Platform (GCP) services (Big Query, Dataflow, Dataproc, Pub Sub/Kafka, Cloud Storage) and AWS
- Big Data Technologies: Knowledge of big data processing frameworks such as Apache Spark ,Flink .
- Programming Languages: Strong knowledge of SQL and at least one programming language (Python, Java, or Scala),DBT.
- Data Visualization: Experience with BI tools such as Google Data Studio, Looker, Thought Spot, and using Big Query BI Engine for optimized reporting
- Problem Solving: Strong analytical and troubleshooting skills, particularly in complex data scenarios.
- Collaboration: Ability to work effectively in a team environment and engage with cross-functional teams.
- Communication: Proficient in conveying complex technical concepts to stakeholders.
- Knowledge of data governance, security best practices, and compliance regulations in both GCP and AWS environments.
- Bachelor’s degree in Computer Science, Information Technology or a related field.
Location:
- Remote-based position located in the United States.
The base pay range for this position varies based on the geographic location. More information about the pay range specific to candidate location and other factors will be shared during the recruitment process. Individual pay is determined based on location of residence and multiple factors, including job-related knowledge, skills and experience.
San Francisco Bay Area:
156,400 - 265,700 USD Annual
All Other US Locations:
136,000 - 231,000 USD Annual
As a part of the total compensation package, this role may be eligible for a bonus. For information on our benefits click here.
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About Calix

Calix
PublicSpecializes in providing software platforms, systems, and services to support the delivery of broadband services.
1,001-5,000
Employees
San Jose
Headquarters
Reviews
4.2
16 reviews
Work Life Balance
3.8
Compensation
3.5
Culture
3.7
Career
3.6
Management
3.2
70%
Recommend to a Friend
Pros
Active hiring and referral opportunities
Competitive compensation packages
Remote work flexibility
Cons
Lack of transparency in compensation discussions
Recruiters not providing detailed information
Questions about authenticity of ratings
Salary Ranges
275 data points
Senior/L5
Senior/L5 · Data Analytics Product Owner
1 reports
$147,168
total / year
Base
$127,754
Stock
-
Bonus
-
$147,168
$147,168
Interview Experience
3 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Offer Rate
33%
Experience
Positive 33%
Neutral 67%
Negative 0%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Past Experience
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