Data Engineer

About the role

The successful Engineer will be responsible for expanding and optimizing our Telematic data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder who enjoys optimizing data systems and building them from the ground up.

What you'll do

• Create and maintain data pipelines and code pipelines
• Assemble large, complex data sets that meet functional / non-functional business requirements
• Identify , design, and implement internal process improvements: automating manual processes, optimizing data delivery
• Define the infrastructure required for optimal extraction, transformation
• Support data sets in analytics tools to provide actionable insights into operational efficiency and other key business performance metrics

What you need

• 3–5 years in data science & ai
• SQL
• ETL
• AWS
• Redshift
• Kafka
• Root cause analysis
• Any graduate

Good to have

• Qlik
• Tableau
• Data structures
• ERP
• NoSQL
• Elasticsearch