AWS Data Engineer designs, builds, and manages scalable data pipelines, data lakes, and cloud data warehouses using Amazon Web Services (AWS) tools to support business analytics, reporting, and machine learning.
Core Responsibilities
Pipeline Development: Design, build, and optimize robust ETL/ELT data pipelines for batch and real-time data processing.
Cloud Infrastructure Management: Manage and configure core AWS data services such as Amazon S3, Redshift, Glue, EMR, Kinesis, and Lambda.
Data Quality and Governance: Ensure data integrity, implement security best practices, configure IAM roles/permissions, and monitor workflow performance.
Collaboration: Partner with data analysts, data scientists, and product managers to translate business needs into scalable data models.
Key Requirements & Skills
Programming & Querying: Advanced proficiency in SQL Server.
AWS Services: Hands-on experience with storage (S3), processing/analytics, and orchestration tools.
Big Data Frameworks: Familiarity with distributed systems and frameworks
Experience Level: Typically ranges from 5+ years of data engineering or software development experience.

Indispensable, ingles fluido

📌 AWS Data Analyst (Cartagena)
🏢 Lsv Tech
📍 Cartagena