Lead - Data Engineering

Overview We are seeking a highly skilled Senior Data Engineer with 5+ years of experience in building scalable data solutions on the Azure ecosystem.

The ideal candidate will have strong hands-on expertise in Databricks, Spark (Java), modern data lake architectures, and end-to-end ETL development.

Key Responsibilities :

• Design, develop, and maintain scalable data pipelines using Azure and Databricks.
• Build efficient ingestion and transformation workflows using Databricks with Pyspark and Delta Lake
• Develop and optimize ETL pipelines using Java and SQL.
• Implement best practices for data modeling, data quality, governance, and pipeline performance.
• Work with relational and lakehouse databases including PostgreSQL and Delta Lake.
• Collaborate with cross-functional teams and support production workloads, troubleshooting, and optimization.

Required Skills & Experience :

Strong working knowledge of the Azure ecosystem, especially :

Preferred Skills :

Skills : Azure Cloud,Java,Pyspark

MUST HAVE :

Skills : Azure Cloud,Java,Pyspark

Notice period - 0 to 15days only

(ref : hirist.tech)