Generate AI Drafted
Cover Letter & Resume
Overview
Exp. required: Mid-Level (3-5 yrs)
Snowflake
MSSQL
MLOps
ML implementations
Docker
Kubernetes
GCP services
PubSub
Kafka
Job Description
- Our Data Engineering team is part of the R&D organization and it plays a significant role in almost every major feature we are releasing to production. The ideal candidate is an experienced Data Engineer with a strong technical background in data infrastructure, data architecture design, and robust data pipe building. The candidate must have the ability to lead the design and development of key features and interact effectively with other teams, Product managers, DevOps engineers, Data scientists, onboarding engineers, and Support staff.
Job Requirements
- Sc. in Computer Science, or equivalent
- 3+ years of extensive experience with programming languages (preferably, Python) – a must!
- 3+ years of extensive SQL experience (preferably working in a production environment) – a must!
- Strong capability in schema design and data modeling
- Experience in building robust and scalable data pipelines in a micro-services environment
- Experience with data services orchestration tools, such as Airflow
- Quick, self-learning, and good problem-solving capabilities
- Good communication skills and collaborative
- Process and detailed oriented
- Passion for solving complex data problems
- Must be eligible to work in the UK – we are unable to provide sponsorship at this time.
Company Description: With an actionable CDP at its core, Optimove’s CRM Marketing Hub autonomously transforms customer data into actionable insights.
Founder: Unknown
Year Founded: 2012
Headquarter: New York, NY
Ownership: Private
Number of Employees: 201-500
Investment Raised: Not Found
Global Ranking: 2101
Email: info@optimove.com
Industry
Software Development
Specialties
Customer retention automation
Conversion optimization
Behavior modeling
Predictive analytics
LTV maximization
Personalization
Customer churn prediction & prevention
Customer engagement
Multi-channel marketing
Lifecycle marketing
Micro-segmentation
Customer relationships
Relationship marketing
CDP
Customer Data Platform
Retention
Customer analytics