Build scalable data platforms with Python, SQL, and ETL expertise at Miratech, supporting business intelligence and data-driven decisions.
Miratech seeks a Data Engineer to design, develop, and maintain reliable, secure data platforms. You will guide engineering teams while applying data architecture, integration, and platform optimization skills. The work supports modernization, governance, quality, and cross-functional delivery of scalable data solutions.
Key Responsibilities:
- Design and scale robust ETL pipelines for complex data workflows
- Automate ingestion from databases, APIs, and cloud platforms
- Optimize storage, processing, and retrieval across data platforms
- Modernize legacy systems through architectural improvements
- Mentor engineers and enforce technical best practices
Requirements:
- 7+ years in IT and 5+ years in Data Engineering
- Advanced Python and SQL proficiency with ETL experience
- Experience with AWS, GCP, or Azure data platforms
- Understanding of batch, streaming, and event-driven architectures
- Bachelor's degree in a related field required
Bring Python, SQL, architecture, and ETL expertise to Miratech's reliable, governed data engineering initiatives.
Senior Data Platform Engineer employer: Miratech
Miratech is an exceptional employer that fosters a culture of Relentless Performance, ensuring a 99% project success rate and over 30% year-over-year growth. With a commitment to employee development through mentorship and certification programs, as well as a welcoming multicultural environment, team members can thrive while working on impactful projects for top global clients. The flexibility of a Work From Anywhere culture, combined with comprehensive benefits and a focus on social sustainability, makes Miratech an attractive choice for those seeking meaningful and rewarding employment in the tech industry.
