Location: Barbados (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.