Data Engineer (Azure/ Databrick)- Insurance 30-45k

Michael Page
Washington, US
RemoteCareer-pivot friendly

Why this role

Pace
Steady
Collaboration
High
Autonomy
Medium
Decision Impact
Team
Role Level
Individual Contributor
Career Pivot Friendly
Welcomes transferable skills

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • scalable data pipelines
  • data integrity
  • secure data systems
Typical background
data engineering principles and practices

Transferable backgrounds

  • Coming from data analyst
  • Coming from database administrator

Skills & requirements

Required

Data EngineeringCloud-based Data PlatformsETL PipelinesData Quality FrameworksSQL

Preferred

PythonAzureDatabricks

Stack & domain

PythonSQLAzureDatabricksInsurance

About the role

Original posting from Michael Page

The role of Data Engineer in the insurance industry involves building and maintaining data pipelines and ensuring data is clean, accessible, and secure. This position is based in Wong Chuk Hang and requires expertise in data engineering within the technology department.

Client Details

The employer is a large organization in the insurance industry with a strong presence. They are known for their focus on technology and data-driven solutions to enhance business operations.

Description

As a Data Engineer, your main responsibilities will include:

  • Designing, developing, and maintaining scalable data pipelines and systems.
  • Collaborating with stakeholders to gather and process data requirements.
  • Ensuring data integrity, security, and accessibility for business needs.
  • Optimizing data workflows and identifying areas for improvement.
  • Implementing data quality frameworks to ensure accuracy and reliability.
  • Supporting the integration of data from various sources into unified systems.
  • Providing technical expertise in data engineering tools and platforms.
  • Documenting processes and workflows for future reference and scalability.

Profile

A successful Data Engineer should have:

  • A strong understanding of data engineering principles and practices.
  • Proficiency in programming languages such as Python, SQL, or similar.
  • Experience with cloud-based data platforms and tools.
  • Knowledge of database management systems and ETL pipelines.
  • The ability to work collaboratively in a technology-focused environment.
  • An analytical mindset with excellent problem-solving skills.

Job Offer

  • Renewable contract offering stability and growth opportunities.
  • Exposure to innovative projects in the insurance industry.
  • Opportunities to work with a dedicated and skilled technology team.

If you are a motivated Data Engineer seeking a challenging role in the insurance industry, apply now to join this exciting opportunity in Wong Chuk Hang!

To apply online please click the 'Apply' button below. For a confidential discussion about this role please contact Alexandra Leung on 查看ctgoodjobs.hk上的电话号码.

Source: Michael Page careers

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