
Senior Data Engineer
4 weeks ago
Overview
As a Senior Data Engineer, you'll play a crucial role in storing, processing, modelling, and applying data science to make data and insights available for analytics and business intelligence (BI) systems. This position offers a unique opportunity to work with cutting-edge products and world-class clients in a remote-first environment.
Key Responsibilities
- Architect and build robust data systems and pipelines
- Analyse, organise, and prepare raw data for modelling and analytics
- Evaluate business needs and objectives
- Combine raw information from diverse sources
- Enhance data quality and reliability
- Identify opportunities for data acquisition
- Develop analytical reports using data science techniques
Required Skills
Data Engineering Expertise
- Strong data modelling and SQL/database design skills
- Proficiency in ETL/ELT processes
- Expert-level SQL and Python programming
- Understanding of different data modelling techniques (e.g Kimban, star and snowflake schemas etc)
- Data quality techniques
- Data normalisation Cloud and Big Data Technologies
- Familiarity with cloud data warehouses (AWS, Azure, GCP, or Snowflake)
MLOps
- Proficiency in MLOps practices, including model deployment, monitoring, and management
- Familiarity with tools and frameworks for MLOps, such as MLflow or similar.
Additional Desirable Skills
- CI/CD knowledge
- Experience with JIRA/Asana for project management
- Familiarity with Airflow, Fivetran, Matillion
- Agile working methodology
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