Senior Data Engineer at NTT Ltd.

Key Roles and Responsibilities:

• Ensure solutions adhere to standards and best practices and participate in solution reviews to ensure all solutions fit within standards
• Operate within project environments and participate in CII continuous improvement efforts
• Design and develop data models, ETL processes, and pipelines to support data ingestion, transformation, and analysis
• Work with cross-functional teams to identify data requirements, prioritize data initiatives, and drive solutions that enable data-driven decision-making
• Develop and maintain dashboards, reports, and visualizations that provide insights into key business metrics and trends
• Design and implement data quality and data validation processes to ensure accuracy and consistency of data
• Develop and maintain documentation for data models, data lineage, and data flow
• Lead technical delivery within squads and provide oversight of solutions
• Share knowledge and practical experience with community
• Challenge and contribute to the development of architectural principals and patterns
• Mentor and coach junior data engineers to develop their skills and expertise

Academic Qualifications and Certifications:

• Bachelor’s degree in computer science, Information Technology or Equivalent Qualification
• Technology Certifications in Databricks, Azure, Data Engineering, and other technologies are highly advantageous
• 7 years’ experience as a Data Engineer
• Proficiency in SQL, Python, and other programming languages commonly used in data engineering
• Experience with data visualization tools such as Paginated reports (SSRS), Power BI, Tableau or QlikView
• Experience in developing solutions in cloud technologies including but not limited to Azure, Databricks, SQL and Data Lake