Join NTT DATA, a global leader in business and technology services, as a Senior Engineer in Production Management with a focus on Big Data and Snowflake. This role is critical for designing, developing, and implementing scalable data solutions within a complex, cross-departmental environment. You will play a key part in building robust data pipelines, ensuring data quality, and driving performance improvements across our Big Data initiatives. Leverage your deep understanding of data-driven insights and lead end-to-end data engineering projects.

We are looking for innovative and passionate individuals to grow with us in an inclusive and forward-thinking organization. Be part of a team that accelerates client success and makes a positive impact on society through responsible innovation.

As a Senior Engineer, you will ensure the seamless integration of the Software Development Lifecycle within the data technology landscape to deliver performant Big Data solutions, especially with Snowflake. You will conduct in-depth data analysis to troubleshoot complex issues and guarantee data accuracy and reliability. Optimize Big Data workflows, including Snowflake query performance and distributed storage strategies, while performing rigorous unit testing of data pipelines. Collaborate effectively with data scientists, analysts, and fellow engineers to meet data requirements and deliver outstanding data solutions.

Key activities include: - Designing, developing, and implementing scalable data solutions. - Ensuring data quality and integrity. - Optimizing data workflows and queries. - Collaborating with cross-functional teams.

Ideal candidates possess relevant experience in critical Big Data engineering roles with significant business impact. You should demonstrate excellent engineering skills, with a strong emphasis on Snowflake data warehousing and a solid grasp of computer science fundamentals for large-scale data processing. A deep understanding of data engineering concepts like Data Modeling, Data Lakes, Data Warehouses, and Data Marts is essential. You will need strong debugging and analytical abilities to resolve issues across various data layers.

Desired qualifications include: - Expertise in Snowflake and data warehousing. - Proficiency in Python for data engineering and SQL. - Knowledge of cloud platforms like AWS. - Experience with data pipeline orchestration tools (e.g., Terraform, dbt) is a plus. - A degree in computer science, mathematics, physics, or a related technical field is preferred. - Exceptional critical thinking and problem-solving skills are a must.