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Senior Data Engineer

Work from home Full-time role Hiring

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:

  • 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

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