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Data Engineer

Gravitas Recruitment Group (Global) Ltd • 🌐 In Person

In Person Posted 4 days, 8 hours ago

Job Description

Core Responsibilities:

Platform Development:

Design and implement scalable data platform components, integrating AWS cloud services for data ingestion and processing.

Data Operations:

Build and optimize ETL/ELT pipelines using tools like AWS Glue and Spark, and automate workflows with Airflow.

Governance:

Implement role-based access controls and collaborate with governance teams on data quality and compliance.

Release Management:

Participate in CAB meetings to assess changes and maintain documentation for runbooks and SOPs.

Performance Tuning:

Develop monitoring models and conduct root cause analysis for data ingestion failures.

Leadership:

Provide technical guidance to engineering teams and work closely with product owners to align platform capabilities with business needs.

Required Skills:

Cloud Platforms:

AWS (mandatory), Azure or Ali Cloud (a plus).

Data Technologies:

Spark, Redshift, Glue, Kafka.

Programming:

Python, SQL, Airflow.

DevOps:

Jenkins, Docker/Kubernetes.

Soft Skills:

Strong stakeholder management and communication skills.

Qualifications:

8-10 years in data management or engineering, preferably in financial services.

2-3 years in the insurance industry preferred.

Fluent in English and Cantonese.

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