Data Engineer

1 week ago

Gurgaon, Haryana, India BigStep Technologies Pvt Ltd Full time ₹ 8,00,000 - ₹ 25,00,000 per year
Key Responsibilities:
 Build, scale, and maintain robust data solutions to support business objectives.
 Design, implement, and optimize high-performance data pipelines (extraction,
loading, transformation, and orchestration) 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.
 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.
Education & Certifications:
- 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.
Professional Experience
- 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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