Data Engineer (AWS) - Remote Work | REF#302135
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.
As a Data Engineer (AWS), you will design and maintain scalable, high-performance data pipelines using AWS-native services. You will serve as the technical link between raw data sources and analytical environments, ensuring that information flows efficiently and securely across the enterprise.
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.
As a Data Engineer (AWS), you will design and maintain scalable, high-performance data pipelines using AWS-native services. You will serve as the technical link between raw data sources and analytical environments, ensuring that information flows efficiently and securely across the enterprise.
What You'll Do
- Design, build, and optimize scalable ETL/ELT pipelines using AWS Glue, Lambda, and Python.
- Develop and maintain robust data warehouse architectures on Amazon Redshift and data lakes on S3.
- Automate data workflows and infrastructure provisioning using Terraform or CloudFormation.
- Implement data models and partitioning strategies to enhance query performance and cost-efficiency.
- Ensure data quality and reliability through automated validation checks and monitoring.
- Collaborate with stakeholders to translate business requirements into technical data solutions.
- 4+ years of experience in Data Engineering or Cloud Engineering.
- Proven expertise in building and managing data pipelines using AWS-native services like AWS Glue and Kinesis.
- Proficiency in designing and optimizing data warehouses on Amazon Redshift.
- Hands-on experience with Infrastructure as Code tools, specifically Terraform or CloudFormation.
- Strong proficiency in SQL and Python for data transformation and automation.
- Advanced proficiency in English.
- 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!
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