Description

You will design, implement, and maintain scalable data pipelines and warehousing solutions within the Azure Cloud environment.

This role is on-site.

Responsibilities

• Design and maintain scalable data pipelines in Azure for efficient ingestion, transformation, and storage.
• Develop and manage data warehousing solutions using Azure Data Lake Storage, SAP S/4HANA, and Teradata.
• Optimize complex SQL queries, views, and stored procedures for ETL/ELT processes.
• Integrate SAP business processes and master data into Azure-based data solutions.
• Deploy and scale cloud-native applications using Azure Kubernetes Services (AKS) and containerized environments.

Required Skills

• 5+ years of experience in data engineering.
• Proficiency in Python, PySpark, and Scala.
• Extensive experience with Azure Data Factory (ADF) and Azure Databricks.
• Hands-on experience with SAP S/4HANA and Teradata.
• Strong SQL skills for performance tuning and complex query optimization.
• Experience with Azure Blob Storage, Azure Data Flows, and Azure Key Vault.
• Knowledge of Azure Data Lake Storage (ADLS) and Azure Kubernetes Services (AKS).
• Proficiency with GitHub for version control.
• Bachelor's degree.

Preferred Skills

• Experience creating dashboards and reports using Power BI.

Key Skills

Education

Bachelor's degree