Description : Position Overview
As a Senior Azure / SQL Developer, you will be responsible for the end-to-end development, deployment, and maintenance of robust data solutions.
This includes advanced SQL development, designing ETL / ELT workflows using SSIS and PySpark, and leveraging the full capabilities of the Azure Data stack within a DevOps methodology.
We are looking for an experienced professional ready to hit the ground running and drive performance in our data environment.
Key Responsibilities :
- Azure Data Development : Design and implement scalable data solutions utilizing core Azure services (e.g., Azure Data Factory, Azure Synapse Analytics, Azure SQL Database).
- Advanced SQL Development : Write complex, highly optimized SQL queries, stored procedures, functions, and views to support business intelligence and application needs within high-transaction environments.
- ETL / ELT Pipeline Construction : Develop, deploy, and manage Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) processes using SQL Server Integration Services (SSIS) for robust data movement and transformation.
- Big Data Processing : Utilize PySpark for scalable data processing, transformation, and analysis, focusing on handling large volumes of data efficiently within Spark environments (e.g., Azure Databricks, Azure Synapse Spark Pools).
- Development Tools : Leverage Visual Studio for developing and managing SQL projects, SSIS packages, and integrated cloud development tasks.
- DevOps Integration : Implement and maintain Continuous Integration / Continuous Deployment (CI / CD) pipelines using DevOps practices (e.g., Azure DevOps, Git) for automated testing, deployment, and infrastructure management.
Essential Technical Skills (Mandatory) :
The essential mandatory technical skills for this role are comprehensive and span the modern data landscape.Candidates must possess expertise in Cloud technologies, specifically with Azure Data Services (including Azure Data Factory and Azure SQL).Foundational knowledge includes advanced Database skills encompassing complex SQL development, expert query optimization, and T-SQL.For data ingestion and transformation, proficiency in ETL tools, particularly SSIS (design, deployment, and configuration), is required.The role also demands Big Data processing capabilities using PySpark for efficient data manipulation, transformation, and performance tuning with DataFrames.Development work requires familiarity with the Development IDE Visual Studio for managing SQL and SSIS projects.Finally, a strong understanding of Automation and modern DevOps principles (CI / CD, Version Control) is mandatory for streamlined deployment and maintenance.Candidate Profile :
Experience : 58 years of professional experience, with a significant portion of that time focused on the mandatory skills listed above.Availability : Immediate joiners only are strongly preferred, demonstrating readiness to integrate quickly into our team.Analytical Skills : Proven ability to analyze complex business requirements and translate them into efficient, technical data solutions.Teamwork : Excellent collaboration skills, capable of working independently and as part of an agile development team(ref : hirist.tech)