Overview
Skills
Job Details
We are seeking a skilled Azure Data Engineer to design, build, and maintain scalable data pipelines and data solutions using Microsoft Azure cloud technologies. The ideal candidate will have strong expertise in Azure Data Services, data modeling, ETL development, and performance optimization.
Key Responsibilities:
Design and implement end-to-end data pipelines on Azure to ingest, process, and store structured and unstructured data.
Develop and maintain ETL/ELT processes using tools like Azure Data Factory, Databricks, Synapse Analytics, and SQL.
Work with stakeholders to understand data requirements and translate them into scalable data models and solutions.
Build and manage data lakes, data warehouses, and integration frameworks.
Optimize data storage, transformation, and query performance to ensure high availability and efficiency.
Implement data security, compliance, and governance best practices in accordance with organizational and regulatory standards.
Collaborate with Data Scientists, Analysts, and Application teams to deliver reliable data solutions.
Monitor data pipelines and troubleshoot issues to ensure data accuracy and timeliness.
Required Skills & Qualifications:
Bachelor s or Master s degree in Computer Science, Information Technology, or related field.
9+ years of experience in data engineering roles with a focus on Azure cloud technologies.
Hands-on experience with Azure Data Factory (ADF), Azure Synapse, Azure Data Lake Storage, and Databricks.
Strong proficiency in SQL, Python or Scala for data manipulation and transformations.
Experience with data modeling, data warehousing, and ETL design patterns.
Knowledge of CI/CD pipelines, Git, and DevOps practices.
Familiarity with Power BI or other BI tools is a plus.
Excellent problem-solving skills and the ability to work in a fast-paced environment.