Data Engineer
- Location
- Barbados
Job Type: Full-Time
Location: Barbados (Remote)
Job Summary:
A Data Engineer is responsible for designing, building, and maintaining data infrastructure to support analytics, reporting, and business intelligence.
Job Description
- Data Pipeline Development Build and optimize data pipelines for efficient extraction, transformation, and loading (ETL).
- Database Management Design and maintain databases, ensuring scalability and reliability.
- Big Data Processing Work with large datasets using tools like Hadoop, Spark, and Kafka.
- Cloud Integration Implement data solutions on cloud platforms like AWS, Azure, or Google Cloud.
- Data Governance & Security Ensure data integrity, compliance, and security best practices.
- Collaboration Work with data scientists, analysts, and business teams to support data-driven decision-making.
Required Skills
- Proficiency in SQL, Python, Scala, or Java for data manipulation.
- Experience with big data technologies (Hadoop, Spark, Kafka).
- Knowledge of cloud computing platforms (AWS, Azure, GCP).
- Strong understanding of data modeling and database design.
- Expertise in ETL processes and workflow automation.
- Ability to optimize data infrastructure for performance and scalability.
- Familiarity with data governance and security protocols.
- Experience within banking industry is an asset.
Educational Requirements
- A bachelors degree in computer science, software engineering, or a related technical field.
- A masters degree can be beneficial for senior roles.
- Certifications like AWS Certified Data Analytics Specialty or IBM Certified Data Engineer Big Data can enhance qualifications.
About TheHiveCareers
TheHiveCareers is an insurance organization that develops and manages comprehensive insurance products across life, health, and property & casualty lines.
The company focuses on digital transformation, data-driven decision-making, and customer-centric product innovation to drive growth and competitive advantage.
They operate with emphasis on regulatory compliance (including IFRS 17 standards), advanced analytics, and emerging technologies such as AI and embedded insurance solutions.
The organization leverages analytics, automation, and digital channels to enhance operational efficiency and deliver seamless customer experiences across multiple distribution channels including agencies, bancassurance, and digital platforms.
Insurance
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