Senior Data Professional

1 week ago

Pushkar, Rajasthan, India beBeeDataScientist Full time ₹ 20,00,000 - ₹ 25,00,000
Job Description

As a senior data professional, you will play a pivotal role in designing and implementing scalable data solutions that drive business growth.

Primary Responsibilities:

  • Design, implement, and optimize high-performance data pipelines with scalability, reliability, and speed to support complex data needs.
  • Lead end-to-end software development projects involving large language models and other AI technologies to deliver cutting-edge data insights.
  • Champion modern software engineering practices such as CI/CD, infrastructure-as-code, containerization, and cloud-native deployments to ensure efficient data management.
  • Collaborate with cross-functional teams to transform use cases into production-ready services and solutions, owning systems from concept to production.
  • Implement rigorous testing and monitoring practices to ensure superior data quality and integrity.
  • Mentor and guide junior team members, fostering a culture of excellence and continuous learning.

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.
  • Experience in financial services or product development environments is a strong plus.

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).
  • Experience working with LLMs, prompt engineering, RAG frameworks, and vector databases.
  • Knowledge of machine learning fundamentals, feature engineering, and knowledge graphs is an advantage.
  • Strong experience in designing and implementing complex data systems from scratch.
  • Ability to handle large-scale data projects including ETL, data cleaning, and information retrieval.
  • Strong communication skills (verbal and written).

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