
Cloud Data Engineer
2 days ago
We are seeking an experienced professional to lead our data engineering efforts. The ideal candidate will have a strong background in cloud data services & technologies, expertise in data platforms, and excellent programming skills.
Key Responsibilities:- Technical Leadership:
As a Data Engineering Lead, you will spend about 60% of your time developing solutions and 40% guiding the team in engineering practices, setting goals, allocating tasks, and ensuring effective collaboration across squads.
- Hands-On Engineering:
You will take an active hands-on role (~60%) in building scalable data pipelines, ETL processes, and data solutions using modern cloud technologies and state-of-the-art data platforms.
- Engineering Excellence:
Drive engineering excellence through code reviews, design reviews, testing practices, and deployment processes. Create a safe and collaborative environment for developers, inspiring team members and fostering knowledge sharing across teams.
- Collaboration:
Collaborate with Product Owners, Product Architects, DataOps, QA, and DevOps to translate business needs into robust solutions. Implement and oversee good practices in DataOps, CI/CD, environment separation, and monitoring.
- Architecture and Technical Challenges:
Contribute to architectural decisions and solve technical challenges together with your team. Shape and role-model collaborative behaviours, supporting decision-making in complex contexts.
Requirements:- Python
- Azure
- Data Engineering
- Azure Databricks
- Unity Catalog
- Delta Live Table
- Data Modelling
- ETL
- PySpark
- SQL
- Azure Data Factory
- Azure DevOps
- DataOps
- Apache Kafka
- Azure Synapse
- Fabric
- PowerBI
- Azure Functions
- Azure Logic Apps
- Azure API Services
- GCP
- AWS
- Azure Networking
- Databricks Online Tables
- Jira
- Shell Scripting
- Azure CLI
- Agile
- Scrum
- Sport Subscription
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