Azure Data Engineer

Job Requirements:
We are seeking a highly skilled Onshore Data Engineerwith 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 SparkSQL 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 DevOpsand GitHubfor 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 handson experience with Azure Databricks
7-8 years of overall experience on the Azure technology stack
Strong proficiency in PySpark SparkSQL and Python
Hands On experience in ADF development and DevOps practices
Experience working on recent production grade project latest engagements preferred

Preferred Qualifications
Experience in the Banking or Financial Services domain
Strong problem solving and communication skills
Ability to work in a client facing onshore environment