Position: Lead Big Data Engineer
Category: Data Engineer
English level: fluent
Years of experience: 5

Google Cloud Certified Professional Data Engineer 
Google Cloud Certified Professional Cloud Architect
Apache Beam code contributor

Problem-solving
Direct communication to business stakeholders
Strong mathematical/algorithms background
Feature request -> Feature maintenance
Quality First
"Doing the Right things" > "Doing things Right"
Experienced Lead Big Data Engineer with a strong skillset in Google Cloud Platform (GCP), Python, SQL, NoSQL, Graph Databases, Data Warehouse, Data Lake, ETL/ELT, and building Enterprise Data Platforms. 
Proficient in developing efficient Data Processing Pipelines for Artificial Intelligence, Machine Learning, and Analytics systems.

Extensive experience in Product Development and Consulting for multiple customer projects with complex business domains, showcasing the ability to quickly grasp new concepts and tools while maintaining a deep understanding of on-site business processes.

Google Cloud Certified Professional Data Engineer
Google Cloud Certified Professional Cloud Architect
Apache Beam code contributor

Responsibilities:
Responsibilities:
• Developing, reviewing, refining, and managing a scalable enterprise data architecture
• Designing and implementing Analytics Data Warehouse.
• Designing, implementing, maintaining, and integrating a Graph Database into the platform.
• Implementing third-party data integrations
• Developing ETL/ELT processes and procedures
• Reviewing, optimizing, and implementing the platform Data Service Layer API
• Building, designing, and managing data infrastructure technologies
• Building, designing, and managing data integrations and data pipelines
• Managing data quality and minimum viable sparseness
• Informing database design, management, and architecture
• Contributing to data-related Cloud Operations (DevOps/CloudOps)
• Providing robust APIs to other parts of the team
• Integrating ML relevance and ranking models developed by the Data Science/ML group

Soft Skills
• Ability to work as part of a self-directed
and self-managed team
• Ability to collaborate across time-zones
• Strong team player - the ability to work
directly with others exchanging ideas,
knowledge, experience and thoughts.
• Have a thirst for learning, continuous
improvement, sharing and working in a team environment
• Passionate about data quality
• Pragmatic proactive problem solving
• Eye for detail and identifying problems
• Leadership skills
• Not afraid of challenging assumptions, but
humble enough to recognize and adopt the views of others

Full profile on linkedin.com
Product Company
Artificial Intelligence
Data Science
Distributed Systems
GCP or other clouds
Graph Databases
Data Lake / Data Warehouse
Data Processing at Scale
Orchestration

RSU, Stock Options preferred