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Chief Data Pipeline Architect
3 weeks ago
As a Senior Data Operations Engineer, you will play a pivotal role in designing and developing data pipelines and integration frameworks for our enterprise data platform. Your expertise will ensure the seamless operation, support, and maintenance of data products and platform services.
This is an exciting opportunity to drive improvements in data and operations, enhance data pipeline efficiency, and leverage new technology trends such as advanced analytics and Generative AI. You will collaborate with a talented team of engineers to design and implement scalable, high-quality solutions using CI/CD and modular design principles.
Key responsibilities include:
- Enhancing and innovating ETL design patterns
- Developing data ingestion processes and models to meet business needs
- Improving data engineering processes, frameworks, and automation
- Maintaining scalable, high-quality solutions using CI/CD and modular design
- Supporting platform engineering, including infrastructure and DevOps practices
- Defining operational metrics for system availability, reliability, and data quality, following ITIL processes
- Automating cloud infrastructure management using Infrastructure as Code (IaC)
To be successful in this role, you will need:
- Tertiary qualification in Information Technology, Engineering, or a related discipline
- Experience with Agile Program Increment / Scaled Agile Framework and backlog grooming
- Strong problem-solving skills and motivation
- Experience with cloud platforms AWS and DBT is essential
- Experience in Data Warehouse, Data Lake, and Data Lakehouse implementation
- Expertise in SQL and Python
- Experience with Data platforms and tools such as Databricks
- Knowledge of Data modelling techniques for Data Warehouse and Data Mart applications
- In-depth knowledge of large-scale data sets (structured and unstructured)
- Experience with DevOps and agile delivery (code management, CI/CD, modular design)
- Familiarity with monitoring and logging solutions for Data Platforms and Tools
