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AWS Data Engineer - Remote Work | REF#303899
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Resumen
At BairesDev®, we've been leading the way in technology projects for over 15 years. We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley.
Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide.
When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success.
AWS Data Engineer at BairesDev
In this role, you'll build ETL/ELT pipelines on AWS, leveraging Glue and Redshift to move and transform data reliably at scale. Applying strong data cataloging and observability practices, you'll ensure data pipelines remain trustworthy and well-governed as they grow. This is your opportunity to deepen your AWS data engineering expertise, building cloud-native pipelines that support critical business decisions.
What You'll Do
Apply now!
Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide.
When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success.
AWS Data Engineer at BairesDev
In this role, you'll build ETL/ELT pipelines on AWS, leveraging Glue and Redshift to move and transform data reliably at scale. Applying strong data cataloging and observability practices, you'll ensure data pipelines remain trustworthy and well-governed as they grow. This is your opportunity to deepen your AWS data engineering expertise, building cloud-native pipelines that support critical business decisions.
What You'll Do
- Build and maintain ETL/ELT pipelines on AWS using Glue and Redshift.
- Implement data cataloging practices to ensure data assets are discoverable and well-governed.
- Set up observability and monitoring across AWS-based data pipelines.
- Conduct data QA to ensure accuracy and reliability of data assets.
- 5+ years of experience in data engineering.
- Strong experience with ETL/ELT development.
- Hands-on experience with AWS, including Glue and Redshift.
- Experience with data cataloging using Collibra or similar tools.
- Proficiency in Python.
- Experience with observability and monitoring for data pipelines.
- Background in data QA.
- Advanced proficiency in English.
- Experience with AI tooling or MCP servers.
- Background in data lake architecture using Redshift.
- Experience with CDC tools such as Qlik Replicate or DMS.
- Knowledge of insurance data models.
- Experience with event-driven architecture.
- 100% remote work (from anywhere).
- Excellent compensation in USD or your local currency if preferred
- Hardware and software setup for you to work from home.
- Flexible hours: create your own schedule.
- Paid parental leaves, vacations, and national holidays.
- Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent.
- Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities.
Apply now!
Requerimientos
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