Data Engineer (Engineer Database ) (Aguascalientes)
Link-Worldwide
AWS Data Engineer Profile Summary
Data Engineer with 2–5 years of experience designing, building, and maintaining cloud‑native data platforms on AWS. Background in developing scalable ETL/ELT pipelines, integrating multiple data sources, and supporting enterprise analytics environments. Experienced in delivering reliable, secure, and high‑performance data solutions with a focus on automation, scalability, and data quality.
Key Capabilities
Data Engineering
- Cloud‑native data architectures on AWS, ETL/ELT pipeline development, data modeling, API and database integration, workflow orchestration.
AWS Services (Some)
- Amazon S3, AWS Glue, Lambda, Redshift, Athena, EMR, Kinesis, IAM, CloudWatch, EventBridge.
Data Platforms & Tools
- Apache Spark, Airflow, Snowflake (preferred), Databricks (preferred), Git/GitHub.
Programming
- Python, SQL, REST APIs.
DevOps
- CI/CD fundamentals, Docker basics, infrastructure automation exposure, version control with Git.
Soft Skills
- Strong analytical and problem‑solving skills.
- Clear communication with technical and business stakeholders.
- Collaborative team player with a client‑oriented mindset.
- Comfortable working in Agile environments.
- Continuous learning mindset and passion for AWS technologies.
Experience
2–5 years of hands‑on experience building, deploying, and supporting AWS‑based data platforms and production‑grade data pipelines.
Preferred Certifications
- AWS Certified Data Engineer – Associate
- AWS Certified Solutions Architect – Associate
- AWS Certified Developer – Associate
Vacante publicada el 2 días atrás
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