数据工程师

Job Type: Full-Time
Location: Barbados (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