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The opportunity:
Zurich Edge are looking for a motivated and hands-on Data Engineer to join our team in supporting Asia Pacific projects. Your main duty is developing data solutions to meet business requirements. You will be responsible for developing, managing, and optimizing data architectures, pipelines, and ETL processes. You need to be self-directed and be able to work independently supporting the data needs of multiple teams, systems and products.
Key Responsibilities:
At Zurich, we like to think outside the box and challenge the status quo. We take an optimistic approach by focusing on the positives and constantly asking What can go right? We highly value the experience and know-how of our employees and offer a wide range of opportunities across business areas to encourage you to apply for new opportunities within Zurich when you are ready for your next career step. We’re proud to have earned Great Place To Work Certification. Our company culture is our top priority! #GPTWcertified
Let’s continue to grow together!
Zurich Edge are looking for a motivated and hands-on Data Engineer to join our team in supporting Asia Pacific projects. Your main duty is developing data solutions to meet business requirements. You will be responsible for developing, managing, and optimizing data architectures, pipelines, and ETL processes. You need to be self-directed and be able to work independently supporting the data needs of multiple teams, systems and products.
Key Responsibilities:
- Define the data architecture based on business requirements.
- Develop and maintain the data pipeline, including data sourcing, extraction, cleansing, transformation, and validation.
- Design, implement, and optimize ETL data pipelines and automation.
- Collaborate with data analysts and business stakeholders to understand data requirements and implement solutions to support their work.
- Technical proficiency, including professional experience in data modeling, database design, and data integration.
- Knowledge of database and programming languages such as SQL, NoSQL, Python or Java
- Experience on lake house architecture using Databricks.
- Experience working in an Agile environment; and possessing the knowledge of CI/CD or DevOps practices.
- A can-do attitude and hands-on mentality with a focus on delivering end-products that meet user needs and specific business use cases.
- Strong teamwork and communication skills.
At Zurich, we like to think outside the box and challenge the status quo. We take an optimistic approach by focusing on the positives and constantly asking What can go right? We highly value the experience and know-how of our employees and offer a wide range of opportunities across business areas to encourage you to apply for new opportunities within Zurich when you are ready for your next career step. We’re proud to have earned Great Place To Work Certification. Our company culture is our top priority! #GPTWcertified
Let’s continue to grow together!
- Location(s): MY - Kuala Lumpur
- Schedule: Hybrid
- Recruiter name: Izzah Saibudin
The opportunity:
Zurich Edge are looking for a motivated and hands-on Data Engineer to join our team in supporting Asia Pacific projects. Your main duty is developing data solutions to meet business requirements. You will be responsible for developing, managing, and optimizing data architectures, pipelines, and ETL processes. You need to be self-directed and be able to work independently supporting the data needs of multiple teams, systems and products.
Key Responsibilities:
At Zurich, we like to think outside the box and challenge the status quo. We take an optimistic approach by focusing on the positives and constantly asking What can go right? We highly value the experience and know-how of our employees and offer a wide range of opportunities across business areas to encourage you to apply for new opportunities within Zurich when you are ready for your next career step. We’re proud to have earned Great Place To Work® Certification™. Our company culture is our top priority! #GPTWcertified
Let’s continue to grow together!
Zurich Edge are looking for a motivated and hands-on Data Engineer to join our team in supporting Asia Pacific projects. Your main duty is developing data solutions to meet business requirements. You will be responsible for developing, managing, and optimizing data architectures, pipelines, and ETL processes. You need to be self-directed and be able to work independently supporting the data needs of multiple teams, systems and products.
Key Responsibilities:
- Define the data architecture based on business requirements.
- Develop and maintain the data pipeline, including data sourcing, extraction, cleansing, transformation, and validation.
- Design, implement, and optimize ETL data pipelines and automation.
- Collaborate with data analysts and business stakeholders to understand data requirements and implement solutions to support their work.
- Technical proficiency, including professional experience in data modeling, database design, and data integration.
- Knowledge of database and programming languages such as SQL, NoSQL, Python or Java
- Experience on lake house architecture using Databricks.
- Experience working in an Agile environment; and possessing the knowledge of CI/CD or DevOps practices.
- A can-do attitude and hands-on mentality with a focus on delivering end-products that meet user needs and specific business use cases.
- Strong teamwork and communication skills.
At Zurich, we like to think outside the box and challenge the status quo. We take an optimistic approach by focusing on the positives and constantly asking What can go right? We highly value the experience and know-how of our employees and offer a wide range of opportunities across business areas to encourage you to apply for new opportunities within Zurich when you are ready for your next career step. We’re proud to have earned Great Place To Work® Certification™. Our company culture is our top priority! #GPTWcertified
Let’s continue to grow together!
- Location(s): MY - Kuala Lumpur
- Schedule: Hybrid
- Recruiter name: Izzah Saibudin
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