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