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Lead Data Scientist
2 months ago
Job Title: Lead Data Engineer
About Stratospherec Limited:
Stratospherec Limited is a software and services company delivering bespoke software to the transport industry across Europe, operating in the UK and internationally. Our company is set to build a new Big Data Infrastructure and set of tools to allow our software to improve on data collection, data usage, and data reporting for our customers who are massive blue chip clients across Europe.
Job Summary:
We are seeking a highly skilled Lead Data Engineer to be the first member of our growing data team. As a Lead Data Engineer, you will be responsible for designing and developing a new Big Data solution from scratch, working closely with our CTO, Head of Data, and key clients to design something original and unique for our software.
Key Responsibilities:
- Data Collection and Integration: Design and implement data collection and integration processes to ensure seamless data flow across our systems.
- Data Storage and Management: Develop and maintain data storage and management systems to ensure data security and integrity.
- ETL Processes: Design and implement ETL (Extract, Transform, Load) processes to extract, transform, and load data into our data warehouses and lakes.
- Data Warehousing and Lake Development: Design and develop data warehouses and lakes to store and manage large datasets.
- Big Data Technologies: Develop and implement big data technologies, ideally in Scala (possibly Python), to process and analyze large datasets.
- Data Systems and Pipelines: Design and develop data systems and pipelines from scratch to process and analyze data.
- Data Preparation: Prepare data for descriptive and diagnostic analytics, prescriptive and predictive modeling, and other business intelligence applications.
- Code Development: Write well-designed, efficient code to meet the needs of our data systems and applications.
Requirements:
To be successful in this role, you will need:
- Strong technical skills in data engineering, data science, and big data technologies.
- Experience in designing and developing data warehouses, lakes, and data systems.
- Ability to work closely with cross-functional teams, including CTO, Head of Data, and key clients.
- Strong communication and project management skills.
