Senior Data Engineer

1 day ago

Ahmedabad, Gujarat, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Chief Data Architect

As a Chief Data Architect, you will be responsible for designing and implementing robust data solutions to support business objectives. You will lead the development of high-performance data pipelines (extraction, loading, transformation, and orchestration) with scalability, reliability, and speed.

The ideal candidate will have experience in leading end-to-end software development projects involving large language models (LLMs), retrieval-augmented generation (RAG) frameworks, and other AI technologies. You will champion modern software engineering practices such as CI/CD, infrastructure-as-code, containerization, and cloud-native deployments.

You will collaborate with business stakeholders to transform use cases into production-ready services and solutions, owning systems from concept to production. Additionally, you will implement rigorous testing and monitoring practices to ensure superior data quality and integrity.

Your expertise will also include mentoring and guiding 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.

Key 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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