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.
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