Senior Databricks / Azure Fabric E...

EazyML is seeking a highly experienced Senior ETL Data Architect / Lead Data Engineer with significant Databricks and Microsoft Fabric expertise for a full-time, remote role based in India. This position is not entry-level; a minimum of 5 years of data engineering experience is mandatory.

As a key member of our team, you will be responsible for researching and developing the EazyML platform, as well as assisting in solving complex customer data challenges. You will work remotely from anywhere in India.

The ideal candidate will architect and build scalable, cloud-native data platforms leveraging technologies such as Databricks, Apache Airflow, Spark, Delta Lake, and Azure Fabric. Strong experience in data architecture, ETL/ELT strategy, and orchestration is essential. You will develop high-performance data pipelines using Python and SQL, and collaborate with Machine Learning teams on data workflows, including those involving LLM/BERT models.

This role demands a focus on architecture, data governance, and best practices, coupled with hands-on data engineering skills. You will lead initiatives in data architecture, feature engineering, and AI-driven data workflows, utilizing modern GenAI tools to enhance developer productivity and data quality.

Key Skills Required: Databricks, Apache Airflow, Spark, Delta Lake, Data Architecture, ETL/ELT, Python, SQL, Azure, LLMs/NLP.

Experience: 5+ years. A CS/IT degree is preferred.