Senior ETL/Data Engineer with Apache Airflow and Databricks Experience

EazyML, Recognized by Gartner, EazyML (www.EazyML.com) specializes in Responsible AI. Our solutions facilitate proactive compliance and sustainable automation and The company is associated with breakthrough startups like Amelia.ai.

This is a full-time Remote role for a Senior ETL Data Architect / Lead Data Engineer (Databricks, Apache Airflow & BERT/LLM Expert)

The person can work from home (anywhere in INDIA, job location is in India). We’re hiring a

Senior Data Architect

to design and lead

scalable, cloud-native data platforms

using

Databricks, Apache Airflow, Spark, and Delta Lake with experience in data architecture, ETL/ELT strategy, and orchestration , building high-performance pipelines in

Python and SQL , and partnering with ML teams on

LLM/BERT-based data workflows . This role emphasizes

architecture, governance, and best practices , with hands-on experience with data engineering. In this role, you will architect and build

high-performance data engineering solutions , develop

robust ETL/ELT pipelines , and lead initiatives across

data architecture, feature engineering, and AI-driven data workflows . You will work extensively with

Databricks, Spark, Delta Lake, Airflow, and Python , while applying

modern GenAI tools

to improve developer productivity and data quality. Key Skills: Databricks • Apache Airflow • Spark • Delta Lake • Data Architecture • ETL/ELT • Python • SQL • Azure • LLMs/NLP Experience:

3+ years | CS/IT degree preferred