Role Overview
We are seeking a highly skilled Onshore Data Engineer with strong expertise in the Azure data ecosystem to design build and maintain scalable data solutions The ideal candidate will have extensive hands on experience with Azure Databricks PySpark SparkSQL and Python along with deep knowledge of Azure data integration and DevOps practices This role will work closely with business and technology stakeholders to deliver reliable high performance data pipelines

Key Responsibilities
Design develop and optimize data pipelines using Azure Databricks PySpark Spark SQL and Python
Build and maintain data ingestion and orchestration workflows using Azure Data Factory ADF
Develop and integrate APIsto support data exchange across systems and platforms
Implement CICD pipelines using Azure DevOps and GitHub for version control deployment and automation
Collaborate with analytics BI and application teams to support downstream data consumption
Ensure data quality performance security and scalability across platforms

Required Qualifications
4-5 years of hands-on experience with Azure Databricks
7-8 years of overall experience on the Azure technology stack
Strong proficiency in PySpark Spark SQL and Python
Hands on experience in ADF development and DevOps practices
Experience working on recent production grade projects latest engagements preferred