Senior/ Data Engineer

16 hours ago

Queenstown, Singapore BW LPG Holding Pte Ltd Full time

COMPANY DESCRIPTION
As the world's leading owner and operator of LPG carriers with five decades of operating experience, BW LPG promotes competitive, sustainable solutions to secure value for society and our stakeholders.

BW LPG is associated with BW Group, a leading global maritime company involved in shipping, floating infrastructure, deepwater oil & gas production, and new sustainable technologies. Founded in 1955 by Sir YK Pao, BW controls a fleet of over 490 vessels transporting oil, gas and dry commodities, with its 200 LNG and LPG ships constituting the largest gas fleet in the world. In the renewables space, the group has investments in solar, wind, batteries, biofuels and water treatment. BW LPG, as a member of the BW Group, is one of Forbes World's Best Employers 2023.

DESIGNATION : Senior/ Data Engineer

RESPONSIBILITIES
**Role Overview**

The Senior Data Engineer has a role focusing on building our modern Lakehouse including owning pipeline development, data modeling and governance within a cross-functional team responsible for the end-to-end delivery of data products and analytics solutions.

Additionally creating CI/CD pipelines for automated deployments and monitoring, and enforce data quality checks, ensuring data consistency, reliability, and compliance.

**Key Responsibilities**

Working with Product Owners, Business Analysts and Data Analysts to ensure business requirements are translated into data solutions, deliver accurate and reliable datasets that enable impactful analytics and dashboards.

They collaborate with System Analysts and the Business to understand the business logic and data lifecycle within our systems and inform our solution design with a goal of balancing scalability and performance.

QUALIFICATIONS
**Skills**
- **Collaboration and Communication Skills**:Excels at working in a team to align data solutions with business needs, focused on creative problem-solving in a fast-paced environment.
- **Analytical Thinking & Communication**:Strong skills in analyzing and translating data-driven insights and requirements to both technical and non-technical stakeholders.
- **Spark & Azure Databricks**:Proficiency in designing and implementing data pipelines to support reliable data ingestion and transformation using Databricks and Spark.
- **Data Modeling Expertise**:Advanced SQL and Python skills for complex queries and data modeling, enabling efficient data access and transformation.
- **CI/CD Pipeline Creation**:Experience in creating CI/CD pipelines, enabling automated testing, validation, and deployment of data pipelines models using GitHub and GitHub Actions with Databricks.
- **Infrastructure as Code**:Experience in automating cloud infrastructure management for consistent deployment and scaling using tools like Terraform.

**Experiences**
- **5+ Years in Data Engineering**:Proven experience building and maintaining data infrastructure, with a deep understanding of data engineering principles and best practices.
- **Agile Mindset and Experience**:Thrives in Agile Environments, with a strong resilience, adaptability and responsiveness to change in fast-paced settings.

OTHER INFORMATION

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