Seeking a seasoned Systems Integration Senior Specialist with extensive experience in Azure Big Data environments. This role focuses on designing, developing, and implementing robust data pipelines and warehousing solutions to drive data analytics initiatives.

Ideal candidates will possess a strong background in data engineering, leveraging tools and platforms within the Azure ecosystem to build scalable and performant data solutions. The position demands a proactive approach to problem-solving within complex big data landscapes.

Design and implement advanced data warehousing solutions using the Azure stack. Develop and optimize data pipelines using Pyspark for efficient data processing. Build and deploy data analytics solutions on the Azure Databricks platform, ensuring performance and scalability. Collaborate with stakeholders to understand data requirements and translate them into technical solutions. Troubleshoot and resolve issues related to data integration and pipeline performance.

Minimum of 5-7 years of experience in data engineering, specifically within Azure Big Data environments. Proven expertise in developing data pipelines with Pyspark and strong programming skills in Python and SQL. Hands-on experience with SSMS and SQL databases, along with implementing data warehousing solutions. Proficiency in the Azure stack, including Azure Data Lake Storage, Azure Databricks, and Azure SQL. Demonstrated ability to build high-performance data analytics solutions and pipelines on Azure Databricks. Excellent analytical, problem-solving, and communication skills are essential.