Senior Data Engineer

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:

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Data Architecture & Pipeline Development Design and maintain scalable data pipelines for efficient data processing.

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Database Management Oversee data storage solutions, ensuring reliability and performance.

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Big Data Processing Work with technologies like Hadoop, Spark, and Kafka to handle large datasets.

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

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Data Governance & Security Ensure compliance with data security standards and best practices.

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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