Azure Data Engineer

i4DM

i4DM values People Matter, Integrity, and a Commitment to Excellence. Their team consists of diverse, talented consultants eager to utilize cutting-edge technology for solving business challenges. The role of Azure Data Engineer is suited for individuals passionate about technology, who thrive in a dynamic and creative work environment, and are keen to enhance their skills while addressing real-world business problems.

In this role you can expect to have the responsibilities:

• Design and implement efficient data pipelines using Azure Data Factory.
• Develop and optimize ETL processes for Azure Data Lake, SQL, and Synapse Analytics.
• Automate data ingestion from structured and unstructured sources.
• Build and maintain data lakes and warehouses with Azure tools.
• Ensure data availability and performance optimization for large datasets.
• Implement batch and real-time data streaming solutions.
• Integrate data from diverse sources such as SQL Server and CosmosDB.
• Ensure data security and governance with Azure security tools.
• Monitor and enhance data pipeline performance.
• Develop Power BI dashboards and reports for analytics.
• Work closely with BI Developers and Cloud Engineers.

This role requires you to have:

• Bachelor’s degree in computer science or related field.
• Five years of experience with Microsoft Azure.
• Expertise in Azure Data Factory, Synapse Analytics, and Databricks.
• Strong SQL skills, including T-SQL and performance tuning.
• Experience with Apache Spark, Python, or Scala.
• Understanding of ETL processes and BI best practices.
• Knowledge of Agile and Scrum methodologies.

You would benefit from having:

• Azure Data Engineer Associate (DP-203) certification.
• Power BI Data Analyst Associate (PL-300) certification.
• Experience with CosmosDB and NoSQL.
• Knowledge of Machine Learning and AI integration.
• Experience with Power BI API integration.

Candidates must be able to obtain and maintain a Public Trust determination based on client requirements.