DATA SCIENTIST
SKILLFINDER INTERNATIONAL
2 days ago
Role details
Contract type
Temporary contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
EnglishJob location
Remote
Tech stack
Big Data
Cloud Database
Data Architecture
Information Engineering
ETL
Data Structures
Distributed Computing Environment
Python
Performance Tuning
Standard Sql
Data Streaming
Google Cloud Platform
Data Management
Data Pipelines
Databricks
Job description
Our client is seeking a skilled Data Scientist to design, build, and optimise data pipelines within a Databricks environment on Google Cloud. This role will focus on defining key data flows, structuring complex datasets, and implementing scalable data solutions using modern data engineering and analytics tools., * Define and design end-to-end data flows within Databricks (Google Cloud platform)
- Develop and implement robust data pipelines and data models
- Design and manage tables for complex data structures, ensuring efficiency and scalability
- Work with large datasets to extract, transform, and load (ETL) data effectively
- Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions
- Ensure data quality, integrity, and performance optimisation across systems
Requirements
- Strong proficiency in Python and SQL
- Hands-on experience with DataBricks and Google Cloud Platform (GCP)
- Proven experience designing and implementing Data pipeline and data flows
- Expertise in data modelling, particularly for complex data structures
- Solid understanding of ETL processes and data architecture best practices, * Experience working in cloud-based data environments
- Familiarity with big data tools and distributed processing frameworks
- Knowledge of performance tuning and optimisation techniques, * Strong analytical and problem-solving skills
- Ability to work independently and as part of a team
- Excellent communication skills with both technical and non-technical stakeholders