Syntax Technologies

Data Engineer

Syntax Technologies

full-time

Posted on:

Origin:  • 🇮🇳 India

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Job Level

Mid-LevelSenior

Tech Stack

AirflowCloudETLPySparkPythonSQL

About the role

  • 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.

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 (minimum 5 years).
  • 3–5 years of experience in Data Engineering or a related discipline.
  • Experience in financial services or product development environments is a strong plus.
  • 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).
  • Comfortable working the shift from 3:00 PM IST to 12:00 AM IST.