Design and implement big data infrastructure for analytical and operational purposes.
Develop and maintain data pipelines to extract, transform, and load data from various sources into our data solutions.
Ensure data pipelines are efficient, scalable, and reliable, integrating data from different sources such as databases, APIs, logs, and external data providers.
Perform data transformation and cleansing to ensure data is in a usable format for analysis.
Automate routine data engineering tasks using scripting languages such as shell scripts and Python.
Collaborate with cross-functional teams to understand data-related requirements and implement solutions that meet business needs.
Mentor junior team members and provide technical guidance and expertise.
Requirements
Experience in database interrogation and analysis tools, such as Apache Hadoop, SQL and SAS
Proficient in programming languages such as Python and R.
Excellent communication skills to convey complex concepts effectively.
Proven experience with statistical concepts and data preprocessing techniques.
Proactive with the ability to work independently.
Strong analytical skills and a methodical approach to work.
Knowledge of insurance business principles is an advantage.
Fluency in English
Benefits
Competitive remuneration package;
Dynamic and interesting work environment;
Opportunity to use cutting-edge technologies in real projects;
Collaboration with highly skilled and friendly colleagues;
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