Engagement:Full time

Language:English

Location:Remote

Must have skills:

• Data Engineering
• AWS
• Cloud
• Snowflake
• Databricks
• SQL

Good to have skills:

• Artificial Intelligence (AI)
• Machine Learning (ML)
• Data Analytics

Project description:

Our client is looking for a Data Engineer to help them create transparency within their departments, leveraging the power of data to create meaningful insights and statistics, track all commercial transactions and improve the AI/ML models.

Responsibilities:

• Design, develop, test, debug, document and implement the artefacts of the UfC data platform as part of an agile team. This includes: Raw layer (blob storage), harmonizes data model and consumption layer, ingestion and transformation pipelines, data quality measures, AWS managed services required for the data architecture and reports / dashboards used by the customers.
• Ensure fulfillment of non-functional requirements of the solution, such as performance, data protection, IT security and ergonomics/usability

• Take over end-to-end responsibility over the implemented data assets and maintain them in production (DevOps mindset – you build it, you run it)
• Work closely with the product owner and the data architect with the aim of meeting current and future user needs
• Keep up with trends and evolving technology in the big data and analytics world

Requirements:

• Solid experience as a data engineer or in a similar role
• Master (MSc) or equivalent experience in a technical field (for example, Computer Science, Engineering…)
• Strong Experience in setting up a data platform in a cloud environment (preferably in AWS)
• Strong Experience in using state of the art data and analytics tools (Snowflake, Databricks or AWS Tooling incl. Glue, Kinesis, Athena etc.)
• Experience with setting up real time data delivery and analytics modern tools like Kinesis Streams, Spark Streaming etc.
• Familiar with the handling of large data sets
• Knowledge of database technologies and fundamentals incl. coding proficiency in SQL
• Being able to manage security topics in an enterprise environment
• Excellent analytical, debugging, and problem-solving skills
• Strong collaboration skills, ability to explore new paths and work in international teams
• Experience working in cross-functional development teams using agile methodologies

About the client:

Our client is one of the world’s leading insurers and asset managers with operations in more than 65 countries.