Data Engineer

Job Type: Full-Time
Location: Trinidad (Remote)
Job Summary:
A Data Engineer is responsible for designing, building, and maintaining data infrastructure to support analytics, reporting, and business intelligence.
Job Description

Data Pipeline Development Build and optimize data pipelines for efficient extraction, transformation, and loading (ETL).

Database Management Design and maintain databases, ensuring scalability and reliability.

Big Data Processing Work with large datasets using tools like Hadoop, Spark, and Kafka.

Cloud Integration Implement data solutions on cloud platforms like AWS, Azure, or Google Cloud.

Data Governance & Security Ensure data integrity, compliance, and security best practices.

Collaboration Work with data scientists, analysts, and business teams to support data-driven decision-making.

Required Skills

Proficiency in SQL, Python, Scala, or Java for data manipulation.

Experience with big data technologies (Hadoop, Spark, Kafka).

Knowledge of cloud computing platforms (AWS, Azure, GCP).

Strong understanding of data modeling and database design.

Expertise in ETL processes and workflow automation.

Ability to optimize data infrastructure for performance and scalability.

Familiarity with data governance and security protocols.

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 IBM Certified Data Engineer Big Data can enhance qualifications.

Originally posted on Himalayas