Senior Data Engineer/ETL Engineer/Consultant Specialist
4 weeks ago
Some careers shine brighter than others.
If you're looking for a career that will help you stand out, join HSBC and fulfill your potential. Whether you want a career that could take you to the top or simply take you in an exciting new direction, HSBC offers opportunities, support, and rewards that will take you further.
HSBC is one of the largest banking and financial services organizations in the world, with operations in 64 countries and territories. We aim to be where growth is, enabling businesses to thrive and economies to prosper, and ultimately helping people fulfill their hopes and ambitions.
We are currently seeking an experienced professional to join our team as a Consultant Specialist.
In this role, you will:
- Design and Develop ETL Processes:
- Lead the design and implementation of ETL processes using batch/streaming tools to extract, transform, and load data into GCP.
- Collaborate with stakeholders to gather requirements and ensure ETL solutions meet business needs.
- Data Pipeline Optimization:
- Optimize data pipelines for performance, scalability, and reliability.
- Monitor and troubleshoot ETL processes, proactively addressing issues.
- Data Integration and Management:
- Integrate data from diverse sources, ensuring data quality and consistency.
- Manage data storage solutions in GCP, such as BigQuery and Cloud Storage, to support analytics and reporting.
- GCP Dataflow Development:
- Develop Dataflow jobs using Apache Beam for data extraction, transformation, and analysis.
- Collaborate with data analysts and scientists to prepare data for analysis and reporting.
- Automation and Monitoring:
- Implement automation for ETL workflows using tools like Apache Airflow or Cloud Composer.
- Set up monitoring and alerting mechanisms to ensure data pipeline health and SLA compliance.
- Data Governance and Security:
- Apply data governance best practices, ensuring compliance with regulations like GDPR and HIPAA.
- Work with security teams to implement data protection measures.
- Documentation and Knowledge Sharing:
- Document ETL processes, data models, and architecture.
- Conduct training sessions and workshops to share expertise and promote best practices.
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