Data Engineer / Data Architect
POSITION DESCRIPTION
Data Architect / Data Engineer
Reporting to
Team Leader/Manager
Role objective and overview
Work with Global Customer and Marketing Insights team to design and implement a big data architecture with the appropriate levels of scalability, flexibility, resilience, security, and automation to meet the business needs for analytics / insights.
Key result areas
- Designing and implementing big data solutions / architectures and pipelines and selecting appropriate methods / tools / services to meet functional requirements and non-functional requirements (e.g., performance and cost-efficiency)
- Ensuring data is managed in a controlled, sustainable, secure, and compliant way
- Evaluating the quality of the data and identifying where in the end-to-end pipeline issues need to be addressed
- Interpreting current business needs and anticipating future analytics / insights needs
- Acting as data architecture / data engineering SME
Knowledge, qualifications, and experience
Essential:
- Expertise in designing and implementing cloud-based solutions / architectures and ELT and ETL pipelines for storing, processing, and modelling structured, semi-structured and unstructured big data, ideally on Azure
- Understanding of structured, semi-structured and unstructured data and how to model / combine data of similar and different structure
- Understanding of relational databases and SQL, and document databases, blob storage and NoSQL;
- Understanding of master data principles
- Expertise in automation, CI / CD, DevOps / MLOps / DataOps and similar methodologies
Desirables
- Expertise in data mesh / service-oriented architecture
- Power BI (or similar) architecture, implementation planning (e.g., workspaces, security, auditing), admin, automation, and deployment (e.g., deployment pipelines, monitoring, troubleshooting), data modelling and transformation, optimisation
- Microsoft Purview (or similar) architecture, implementation planning, admin, automation, and deployment
- Understanding of streaming data solutions / architecture
Next step
Apply via email:
To apply for the position above, please forward your CV to recruitmentindia@hays.com or hbs.hr@hays.com and our HR SPOC will connect with you.