Description

You will design, build, and optimize scalable data solutions on Microsoft Azure, focusing on ETL/ELT pipelines, data lake architecture, and reporting.

This role is on-site.

Responsibilities

• Build and optimize ETL/ELT pipelines using Azure Data Factory (ADF) and Azure Databricks.
• Develop and manage enterprise data lake solutions using Azure Data Lake Storage (ADLS).
• Create dashboards and reporting solutions using Power BI to support business stakeholders.
• Implement secure cloud data architectures, ensuring data quality, governance, and compliance.
• Optimize SQL queries, data models, and overall pipeline performance for large-scale datasets.

Required Skills

• 5+ years of experience in data engineering with a Bachelor's degree.
• Strong hands-on experience with Azure Data Factory (ADF).
• Expertise in Azure Databricks and Apache Spark for data processing.
• Experience with Azure Data Lake (ADLS), Power BI, and advanced SQL development.
• Understanding of Azure security concepts including IAM, RBAC, and encryption.
• Databricks Certified Data Engineer Associate certification.

Preferred Skills

• Experience with Azure Synapse Analytics, Azure Cosmos DB, or Azure Machine Learning.
• Knowledge of serverless Azure architecture.

Key Skills

Education

Bachelor's degree