Design and maintain large-scale data pipelines to enable data-driven decision-making across the organization. Build and optimize ETL pipelines, data warehouses, and automated workflows using AWS and Redshift. Collaborate with stakeholders to translate business needs into robust data solutions.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
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 Senior Data Engineer, you will design and maintain large-scale data pipelines to ensure the seamless flow of information across the organization. You will serve as a link between raw data sources and analytical systems, building the robust infrastructure necessary for data-driven decision-making.
What You'll Do
- Design, build, and optimize scalable ETL pipelines to transform raw data into high-quality datasets.
- Develop and maintain sophisticated data warehouse architectures using Redshift and AWS services.
- Implement automated workflows to ensure data reliability, consistency, and accessibility at scale.
- Collaborate with stakeholders to translate complex business requirements into technical data solutions.
- Enhance system performance through advanced SQL optimization and infrastructure redesign.
- Establish best practices for data modeling and governance to support long-term scalability.
Interested in remote work opportunities in Data Science? Discover Data Science Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.
- 4+ years of experience in Data Engineering or Software Engineering.
- Proven expertise in designing and maintaining large-scale data pipelines.
- Proficiency in SQL for complex data manipulation and performance optimization.
- Hands-on experience with ETL processes and data warehousing on Amazon Redshift.
- Deep understanding of AWS cloud services and data lake architectures.
- Advanced proficiency in English.
Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
- 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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