
Big Data Innovator
Há 2 dias
A talented Big Data Engineer is required to work remotely and be part of a diverse team that delivers cutting-edge solutions.
The ideal candidate will have extensive experience in building scalable and high-availability solutions, as well as expertise in machine learning, data analysis, mobile, web, IoT, and other IT domains.
- Work closely with developers, tech leads, and architects to design and implement innovative solutions.
- Improve existing architecture or create new ones to drive business impact.
- Develop and maintain large-scale data pipelines using various tools and technologies.
- At least 6 years of experience working as a developer in languages such as Ruby, Python, Java, JavaScript.
- 5+ years of experience in Big Data, with a strong understanding of governance, metadata management, data lineage, impact analysis, and policy enforcement.
- Proficiency in analysis, troubleshooting, and problem-solving.
- Experience in building data pipelines to handle large volumes of data.
- Advanced English language skills.
- Building data lakes with Lambda/Kappa/Delta architecture.
- DataOps, particularly creating and managing batch and real-time data ingestion and processing processes.
- Hands-on experience with managing data loads and data quality.
- Modernizing enterprise data warehouses and business intelligence environments with open-source tools.
- Deploying Big Data solutions to the cloud.
- Performing real-time data visualization and time series analysis using open-source and commercial solutions.
- 100% remote work from anywhere in the world.
- Excellent compensation package in USD or local currency.
- Hardware and software setup for working from home.
- Flexible hours: create your own schedule.
- Paid parental leaves, vacations, and national holidays.
- Innovative and multicultural work environment.
- Supportive environment with mentorship, promotions, skill development, and growth opportunities.
Seniority level: Mid-Senior level.
Employment type: Full-time.
Job function: Information Technology.
Industry: IT Services and Consulting.
Keyword: DataEngineer
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