High-Performance Data Solutions Architect

5 days ago

Pune, Maharashtra, India beBeeDataEngineer Full time ₹ 1,80,00,000 - ₹ 2,40,00,000

Job Overview

We are seeking a highly skilled Data Engineer to join our team. As a key member of our data engineering team, you will be responsible for building, scaling, and maintaining robust data solutions that support business objectives.

Main Responsibilities

  • 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 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.
  • 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).

Nice to Have

  • Fluency in multiple programming languages.
  • Familiarity with distributed computing and parallel processing.
  • Experience working with big data platforms like Hadoop, Spark, or Flink.
  • Knowledge of DevOps tools and practices.
  • Understanding of cloud-based infrastructure.

What We Offer

We offer a competitive salary and benefits package, opportunities for career growth and professional development, and a dynamic work environment that values collaboration, innovation, and results-driven performance.

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