
Senior Data Systems Engineer
1 day ago
Lead the Development of Innovative Data Solutions
As a senior data engineer, you will be responsible for building and maintaining large-scale data solutions that support business objectives. You will design and implement high-performance data pipelines with scalability, reliability, and speed.
Key Responsibilities:
- Design and develop complex data systems from scratch
- Develop and maintain robust data solutions using Python, SQL, and Databricks/PySpark
- Collaborate with cross-functional teams to deliver end-to-end software development projects involving AI technologies
- Implement rigorous testing and monitoring practices to ensure superior data quality and integrity
- Lead junior team members in their professional growth and development
Required Skills & Qualifications:
- Bachelor's degree or higher in Computer Science, Math, Physics, Engineering, or related field
- 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 related discipline with proven track record of success
- Expertise in Python, SQL, and Databricks/PySpark
- Proficiency with workflow orchestration tools such as Airflow and Temporal
- Experience working with LLMs, prompt engineering, RAG frameworks, and vector databases
Technical Skills & Competencies:
- Machine learning fundamentals, feature engineering, and knowledge graphs
- Strong communication skills (verbal and written)
- Ability to handle large-scale data projects including ETL, data cleaning, and information retrieval
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