We are looking for a curious and driven Data Enginee r to join our team. In this role, you will architect and build scalable data lakehouse solutions across major cloud providers. You will move beyond simple script writing to engineer robust, production-grade pipelines using the Modern Data Stack

- You will act as both an individual contributor and a technical mentor, ensuring high code quality and leveraging AI-assisted development tool s (like Cursor, Claude, or GitHub Copilot) to maximize efficiency and innovation

esBig Data Engineerin g: Design, build, and maintain scalable ETL/ELT pipelines usin g PySpa rk an d Advanced S QL to process massive dataset
Platform Architectur e: Architect and implement infrastructure o n Databric ks o r Snowfla ke, leveraging cloud storage (S3/ADLS), serverless services, and modern data warehouse
Transformation & Orchestratio n: Utiliz e D BT (Data Build Tool) for effective data transformation and manage job orchestration/schedulin
Code Quality & Best Practice s: Champion software engineering best practices, including version control (Git), writing comprehensive unit tests, and maintaining design/API documentatio
AI-Augmented Developmen t: Actively utilize AI coding assistants (Cursor, Copilot, etc.)



Collaboration & Revie w: Conduct rigorous peer code reviews for PySpark logic, ETL analytics, and Machine Learning integratio
Mentorshi p: Lead and mentor junior developers, ensuring the team adheres to best coding practices and helping them grow into future leader

s):Expert PySpark Proficien cy: Deep experience processing large-scale data using Spark/PySpark. Advanced S QL: You can write complex, performant queries and understand database optimization deep
Python Scripti ng: Solid ability to write clean, modular, and efficient Python code for data engineering pipelin
Data Modeli ng: Strong understanding of database systems, data modeling (Star schema, Snowflake schema), and data architectu
Engineering Minds et: Experience with CI/CD, unit testing, and integrating with existing codebas
AI Adaptabili t y: Proficiency/Comfort with AI-enabled software developme nt. s): Experience with DLT Hub and orchestration platforms like Airflow/Pref
Experience w ith Modern Data S tack (Fivetran, Airbyte, DBT, et
Exposure to building applications us ing LLMs/G enAI (OpenAI SDK, Gemini, Anthro

📌 Senior Data Engineer - AI & Data (Gurugram)
🏢 EXL
📍 Gurugram