
Transformative Data Systems Engineer
2 days ago
We are seeking a seasoned professional to join our team as a Data Architectural Specialist. This role will be responsible for designing, implementing, and maintaining robust data solutions that support business objectives.
Key Responsibilities:
- Design and implement complex data systems from scratch.
- Built, scale, and maintain high-performance data pipelines with scalability, reliability, and speed.
- Lead end-to-end software development projects involving large language models (LLMs), retrieval-augmented generation (RAG) frameworks, and other AI technologies.
- Champion modern software engineering practices such as CI/CD, infrastructure-as-code, containerization, and cloud-native deployments.
- Collaborate with business stakeholders to transform use cases into production-ready services and solutions, owning systems from concept to production.
Requirements:
- Bachelor's degree or higher in a STEM field (Computer Science, Math, Physics, Engineering, or related), required.
- Advanced degree in Computer Science or related field, preferred.
- 5–7 years of total professional experience.
- 3–5 years of experience in Data Engineering or a related discipline with a proven track record of success.
Technical Skills & Competencies:
- Expertise in Python and SQL with strong data manipulation and analysis skills.
- Proficiency with Databricks/PySpark and dbt for data warehousing and transformation.
- Hands-on experience with workflow orchestration tools (e.g., Airflow, Temporal).
Benefits:
- Strong communication skills (verbal and written).
- Able to handle large-scale data projects including ETL, data cleaning, and information retrieval.
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