Join our team as a Systems Integration Specialist, focusing on advanced data engineering within Azure environments. This role is pivotal for designing and implementing robust data solutions that meet high-performance and scalability demands.

We are seeking a professional with a strong background in building and optimizing data pipelines, ensuring efficient data flow and integration. Your expertise will be crucial in leveraging cutting-edge Azure technologies to solve complex data challenges.

This is an excellent opportunity to contribute to a dynamic team and drive innovation in data analytics and integration.

Develop and maintain scalable data pipelines using PySpark, ensuring seamless data integration.

Implement data warehousing solutions and optimize database performance within SQL environments.

Utilize hands-on experience with the Azure stack, including Azure Data Lake Storage, Azure Databricks, and Azure SQL.

Architect and build data analytics solutions on the Azure Databricks platform, focusing on performance and scalability.

Collaborate with stakeholders to understand data requirements and deliver effective integration strategies.

Possess 5-6 years of dedicated experience as a Data Engineer, specifically within Azure Big Data environments.

Demonstrate proficiency in programming with Python and SQL, coupled with experience in SSMS and SQL databases.

Exhibit expertise in implementing data warehousing solutions and hands-on experience with Azure technologies (Azure Data Lake Storage, Azure Databricks, Azure SQL).

Show a strong understanding of the Azure Databricks platform, capable of building performant and scalable data analytics solutions and pipelines.

Apply strong analytical and problem-solving skills, particularly relevant to big data environments.

Communicate effectively with strong interpersonal skills.