Job Description:
As an Azure Data Engineer, you will be expected to design, implement, and manage data solutions
on the Microsoft Azure cloud platform. The ideal candidate will have a proven track record of writing
complex SQL stored procedures with implementing OTLP database solutions (using Microsoft SQL
Server). As well as experience with Azure Data Bricks for big data processing and Azure Synapse for
data warehousing and analytics.
Key Responsibilities:
Collaborate with cross-functional teams to gather, analyze, and document business requirements for
data integration projects.
Develop and maintain robust data pipelines using Azure Data Factory and Databricks ensuring seamless
data flow between systems.
Expertise in Native SQL, Dynamic SQL, spark SQL, Azure SQL and ability to write complex stored
procedures.
Design and implement complex stored procedures to support data transformation and Implement
business validation logic.
Strong algorithmic programming skills.
Work closely with the team to ensure data quality, integrity, and accuracy across all systems.
Utilize Databricks for advanced data processing and analysis.
Experience on OLTP (Online Transaction Processing) systems using SQL Server and contribute to their
enhancement and optimization.
Qualifications:
Bachelor’s degree in computer science, Information Technology, or a related field.
Good experience in data integration and database development.
Proficiency in Core SQL and Azure SQL/Pyspark. (Synapse- Good to have).
Extensive experience with Azure Data Factory and Databricks.
Strong expertise in designing and implementing complex stored procedures.
Excellent problem-solving skills and attention to detail.
19 Applied