
Large Scale Data Systems Developer
3 days ago
You're ideal for this role if you have experience in data engineering, developing and maintaining robust systems that process large amounts of data.
- Key Skills:
- Data pipelines
- Cloud platforms (GCP, AWS, Azure)
- ETL/ELT processes using PySpark, Hadoop, Hive, and Spark SQL
- Collaboration with engineers and analysts to translate requirements into scalable data solutions
- Automation of workflows and optimization of data engineering processes for efficiency and reliability
- Data quality, accuracy, and consistency across pipelines and applications
- Migrating on-premise data solutions to cloud platforms
In this role, you will be responsible for designing, developing, and maintaining end-to-end data pipelines across cloud and on-premise systems. You will work closely with engineers, data analysts, and business stakeholders to ensure data solutions are efficient, scalable, and aligned with the bank's digital and data transformation initiatives.
Additional Responsibilities:
- Designing and implementing robust ETL/ELT processes
- Collaborating with peers to promote development standards and share knowledge
- Supporting production environments, troubleshooting issues, and monitoring performance and scale
- Contributing to system architecture, design discussions, and Agile development processes
Requirements:
- Data engineering expertise
- Experience with cloud platforms (GCP, AWS, Azure)
- ETL/ELT process design and implementation
- Automation and optimization of data engineering processes
- Data quality and accuracy
- Migrating on-premise data solutions to cloud platforms
Benefits:
- Sport subscription
- Private healthcare
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