Location: Jamaica (Remote)
Job Type: Full-time
Job Summary:
A Senior Data Engineer is responsible for designing, building, and optimizing data infrastructure to support large-scale analytics and business intelligence.
Key Responsibilities:
Data Architecture & Pipeline Development Design and maintain scalable data pipelines for efficient data processing.
Database Management Oversee data storage solutions, ensuring reliability and performance.
Big Data Processing Work with technologies like Hadoop, Spark, and Kafka to handle large datasets.
Cloud Integration Implement data solutions on cloud platforms such as AWS, Azure, or Google Cloud.
Data Governance & Security Ensure compliance with data security standards and best practices.
Collaboration & Leadership Guide junior data engineers and work closely with data scientists and business teams. Required Skills
Expertise in SQL, Python, Scala, or Java for data manipulation.
Experience with big data technologies (Hadoop, Spark, Kafka).
Strong knowledge of cloud computing platforms (AWS, Azure, GCP).
Advanced understanding of data modeling and database design.
Proficiency in ETL processes and workflow automation.
Ability to optimize data infrastructure for performance and scalability.
Familiarity with data governance, security protocols, and compliance.
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 Google Professional Data Engineer can enhance qualifications.
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.
