Data Engineer

3 days ago

Vizag, Andhra Pradesh, India BigStep Technologies Full time

Primary 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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