Senior Data Engineer
Summary
Senior Data Engineer at EazyML (a Responsible AI company) designing and building scalable, cloud-native Azure data platforms: developing high-performance ETL/ELT pipelines, analytics-ready datasets, and AI-driven data workflows using Databricks, Microsoft Fabric, Spark, Delta Lake, Python, and SQL, plus mentoring the data team. Remote anywhere in India.
Compensation: ₹17L – ₹40L
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 on-site role for a Senior Data Engineer with experience in Databricks & Microsoft Fabric.
We're hiring a Senior Data Engineer to design, build, and optimize scalable data platforms leveraging Databricks. This role will be responsible for delivering reliable, high performance data pipelines and analytics-ready datasets, while providing technical leadership and mentoring within the data engineering team. We’re hiring a Senior Azure Fabric Data Engineer with Experience supporting ETL and ELT development and working with Fabric data engineering capabilities to design and lead scalable, cloud-native data platforms.
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 Azure Fabric /Databricks Engineer with experience in Microsoft Fabric The person can work from home (anywhere in INDIA, job location is in India).
Experience with Azure Fabric, Databricks, Azure Onelake, Spark, and Delta Lake, data architecture, azure Data bricks, Azure Synapse, Data bricks, Pyspark, SQL, Delta Lake concepts, PowerBI, Azure Data Engineering tech stack, pipeline optimization data migrations, Azure Data Factory (ADF), Python, SQL.ETL/ELT strategy, and orchestration, building high-performance pipelines in Python and SQL, and partnering with ML teams. 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:
Microsoft Fabric . Databricks • Spark • Delta Lake • Data Architecture • ETL/ELT • Python • SQL • Azure • LLMs/NLP. Azure fabric, azure onelake, azure data bricks..pipeline optimization data migrations, tarquet file format….Azure Data Factory (ADF), Pyspark, Python, SQL, Azure Synapse,
Experience: 7+ years | CS/IT degree preferred