Data Engineer
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Job Location:
Port of Spain - Trinidad and Tobago
Monthly Salary:
Not Disclosed
Posted on:
12 hours ago
Vacancies:
1 Vacancy
Job Summary
Job Title : Data Engineer (Senior)
Role Purpose
The Senior Data Engineer is responsible for designing building and maintaining scalable and reliable data pipelines and platforms that enable analytics reporting and data-driven decision-making across the organization.
Key Responsibilities
- Design build and maintain robust ETL/ELT pipelines for structured and unstructured data
- Optimize data storage processing and access to ensure performance scalability and reliability
- Develop and maintain data models that support analytics reporting and downstream consumption
- Collaborate closely with analytics reporting and business teams to understand data requirements
- Ensure data quality integrity security and compliance with governance and regulatory standards
- Monitor troubleshoot and continuously improve data pipelines and platform performance
- Contribute to data architecture standards best practices and technical documentation
Required Experience & Skills
- Minimum 7 years of experience in data engineering or related roles
- Strong proficiency in SQL and Python; experience with distributed processing frameworks such as Spark
- Hands-on experience with cloud data platforms and modern data architectures
- Solid understanding of data modeling data warehousing and performance optimization techniques
- Experience working in banking or other highly regulated environments
- Strong problem-solving skills and ability to work independently in complex technical environments
Nice to Have
- Experience with real-time or streaming data technologies (e.g. Kafka Kinesis)
- Familiarity with data governance lineage and metadata management tools
- Experience with CI/CD pipelines infrastructure as code or DevOps practices for data platforms
- Exposure to data visualization or BI tools and analytics workflows
- Experience mentoring junior engineers or leading technical initiatives
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
