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The Senior Data Engineer will be responsible for Insights and Reporting role is to design and implement data models and architectures that enable business stakeholders to gain insights from large-scale datasets. This individual will work closely with cross-functional teams to understand business requirements and develop solutions that enable data-driven decision making. The Senior Data Engineer will be responsible for designing and developing ETL processes, pipelines, and data validation processes to ensure accuracy and consistency of data. They will also be responsible for developing and maintaining dashboards, reports, and visualizations that provide insights into key business metrics and trends. The purpose of this role is to help organizations leverage their data to make informed decisions and improve business outcomes.
Working at NTT
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
Skills Summary
Big Data Solutions, Business Analysis, Data Analysis, Data Analytics, DATABASICS, Data Lake, Data Modeling, Data Structures, Unstructured Data
What will make you a good fit for the role?
Workplace type:
Equal Opportunity Employer
NTT is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, color, sex, religion, national origin, disability, pregnancy, marital status, sexual orientation, gender reassignment, veteran status, or other protected category
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