Chief Big Data Architect
1 month ago
We are seeking a highly skilled Chief Big Data Architect to join our team at Grape Up.
OverviewGrape Up is a software development company that leverages technology to drive innovation. Our mission is to create cutting-edge solutions for our clients, and we're currently building a Data & Analytics platform for a leading automotive industry provider.
This project involves designing, developing, and maintaining a Big Data system deployed on-premises, as well as implementing processes and best practices for data management and governance.
Key Responsibilities- Design and develop the Big Data system architecture, ensuring scalability and performance
- Develop and implement processes and best practices for data management and governance, adhering to industry standards
- Ongoing optimization and enhancement of the system setup, including data structure improvements following industry best practices
- Collaborate effectively with data engineering team members and partner closely with analytics and data science teams to meet user needs
To be successful in this role, you will need:
- 5+ years of professional experience in Data Engineering and Big Data
- Proven experience in designing and implementing data governance and data management frameworks
- Expert-level knowledge of Python, SQL, Apache Airflow, Kubernetes, Iceberg, and PostgreSQL
- Master's degree in Computer Science, Data Science, AI, or related field
- Strong problem-solving skills and independent work ethic
- Fluency in English, both written and spoken
The following skills and qualifications would be advantageous:
- Experience with cloud platforms such as AWS, GCP, Azure
- Experience with data streaming technologies, particularly Kafka
- Experience with Big Data technologies, such as Druid, Databricks, Hadoop
As a valued member of our team, you can expect:
- A competitive salary range of $140,000 - $180,000 per annum, depending on experience
- International projects and opportunities for growth and development
- Modern office environment with a startup atmosphere
- No dress code policy
- Free coffee, snacks, and beverages
- Private healthcare and training budget
- Sport subscription and bike parking facilities
- In-house trainings and hack days
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