Location: Trinidad Tobago (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.

Originally posted on Himalayas