Join NTT DATA, a forward-thinking organization that values innovation and passion. We are seeking a skilled Business Intelligence Senior Specialist to contribute to our team. This role offers an opportunity to work with cutting-edge technology and drive impactful solutions.

NTT DATA is a global leader in business and technology services, recognized for our expertise in AI and digital infrastructure. We are committed to accelerating client success and positively impacting society through responsible innovation. As a Global Top Employer, we foster a collaborative and adaptive work environment.

We believe in hiring locally whenever possible to ensure we provide the best support to our clients. While many positions offer flexible work arrangements, these can be subject to change based on client requirements. We are dedicated to staying adaptable to meet the evolving needs of our clients and employees.

Develop and maintain data pipelines using PySpark, ensuring robust and efficient data flow. Implement and manage data warehousing solutions to support business intelligence initiatives. Utilize Azure stack services, including Azure Data Lake Storage, Azure Databricks, and Azure SQL, to build scalable data analytics solutions.

Leverage the Azure Databricks platform to construct data analytics solutions and pipelines that meet required performance and scale. Apply strong analytical and problem-solving skills, especially within a big data context. Collaborate effectively with team members and stakeholders, utilizing excellent communication and interpersonal skills.

A minimum of 5 to 6 years of experience is required, specifically in Data Engineering within an Azure Big Data environment. Proficiency in developing data pipelines using PySpark is essential.

Demonstrated programming experience in Python and SQL is necessary. Experience working with SSMS and SQL databases is expected. Expertise in implementing data warehousing solutions is a key requirement. Hands-on experience with the Azure stack, including Azure Data Lake Storage, Azure Databricks, and Azure SQL, is crucial.

Candidates should possess a good understanding of the Azure Databricks platform and the ability to build data analytics solutions and pipelines for optimal performance and scale. Strong analytical and problem-solving skills are vital, particularly in big data scenarios. Excellent communication and interpersonal skills are also essential for this role.