Tridentitserv
Azure Data Engineer
Tridentitserv, Houston, Texas, United States, 77246
Managed Contract:
6-12 Months (Project Extendable for Multiple Years)Client:
Microsoft(Managed Role)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)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 skillsWork 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.9 to 17 years of experience in data integration and database development.Proficiency in Core SQL and Azure SQL.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.
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6-12 Months (Project Extendable for Multiple Years)Client:
Microsoft(Managed Role)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)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 skillsWork 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.9 to 17 years of experience in data integration and database development.Proficiency in Core SQL and Azure SQL.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.
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