Business Intelligence Senior Specialist

As a Data Engineer with a minimum of 5 to 6 years of experience in an Azure Big Data Environment, your role will involve developing data pipelines using pyspark and programming in Python and SQL. Additionally, you must have experience working with SSMS and SQL databases, along with expertise in implementing Data Warehousing Solutions. Key Responsibilities: - Develop data pipelines using pyspark - Program in Python and SQL - Work with SSMS and SQL databases - Implement Data Warehousing Solutions - Utilize Azure stack components such as Azure Data Lake Storage, Azure Databricks, and Azure SQL - Build data analytics solutions and pipelines on Azure Databricks platform - Demonstrate analytical and problem-solving skills, especially in a big data environment - Communicate effectively and possess strong interpersonal skills Qualifications Required: - Minimum 5 to 6 years of experience as a Data Engineer in Azure Big Data Environment - Proficiency in developing data pipelines using pyspark - Strong programming skills in Python and SQL - Experience with SSMS and SQL databases - Ability to implement Data Warehousing Solutions - Hands-on experience with Azure stack components - Good understanding of Azure Databricks platform,