Description review
Data Engineer
TheHiveCareers · Barbados · back to the listing
HR standards
55/100
needs work
Title ↔ description
91/100
strong
Reads as
Data Engineer
100% confident
How others title the same work
Large employers
- Senior Software Engineer - Data Platform Coinbase
- Senior Security Data Engineer Doordash
- Data Engineer, Product Analytics Meta
- Senior Staff Data Engineer Mozilla
- Staff, Analytics Engineer, GTM Data Science & Analytics Twilio
Startups
- Senior Data Engineer Camber
- Cardog | Toronto, Canada or REMOTE | Full-time Cardog
- Connie Health | Senior Analytics Engineer | Boston, MA | HYBRID | $150k-$185k + equity Connie Health
- DoubleVerify (DV Scibids) | Sr. Data Engineer I | ONSITE/HYBRID - New York, NY (3x/week) | Full-time | $89K–$178K DoubleVerify (DV Scibids)
- Forecasting Research Institute (FRI) | Data Engineer | REMOTE | Full-time Forecasting Research Institute (FRI)
What the listing never says
- 17 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
- No section describes what the person would actually do. Scope clarity
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
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
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