Data Engineer

6 months ago


Hanoi, Vietnam RightShip Full time

**The Company**

RightShip is the world's biggest third party maritime due diligence organization, providing expertise in global safety, sustainability and social responsibility best practices.

We bring together years of industry expertise with the output from analytics and large data sets to provide our safety and environmental scoring systems, recommendations and consultancy services.

Using leading data and technology, we aim to set new benchmarks in environmental protection. We support global initiatives and action influencing practical and impactful change, enabling "win-win" for business and the environment.

**What we offer**

We offer a place where you know you are contributing to an organization who are constantly working to ensure ships are safe as possible so that crew and cargo are protected. We are passionate about maritime efficiency, safety and sustainability practices.

We offer generous rewards. Our base salary is competitive, we support employee wellbeing and provide our employees with a Healthy Living Allowance and our annual incentive scheme is awesome. We have some great talent who are happy to share their experience and skills to help you on your way and we are committed to professional development to make sure your career keeps growing while you're working with us.

**What makes RightShip a great place to work at**:
RightShip is an equal opportunity employer, and we champion diversity. Our teams are composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities, and generations. We believe that a diversity of experiences makes us stronger—as individuals, as communities and as an organization.

**Data Engineer**

Permanent Full Time

Location: Vietnam

At the forefront of maritime safety and environmental advocacy, RightShip is embarking on a transformative journey. By integrating the latest in innovation, digital solutions, and data-driven strategies, we aim to magnify our influence in promoting safety, sustainability, and the well-being of crew members.

We invite a Data Engineer with experience to join our dynamic team. In this pivotal role, you will architect and maintain cutting-edge data solutions that address the maritime industry's pressing challenges.

Collaborating with a dedicated team of Data Engineers, you will champion data management, uphold the integrity of key datasets, and bolster our commitment to robust data governance. Your expertise will empower RightShip to harness data's potential, guiding strategic decisions and amplifying our value proposition to both our team and our Customers.

**Major Responsibilities**
- Provide expertise in data modelling, architecture, quality, cataloging, and lineage concepts.
- Utilize Unity Catalog for a centralized view, organization, and governance of data.
- Leverage experience in streaming technologies to manage real-time data processes.
- Implement and manage delta live tables to ensure data integrity and version control.
- Work with Azure cloud computing services, notably Azure SQL and Databricks.
- Leverage extensive experience with Spark for data processing tasks.
- Acquire, ingest, and process data from multiple sources and systems into our data platforms.
- Design and participate in the implementation of automated data quality validation solutions.
- Work across structured, semi-structured, and unstructured data.
- Participate in technical discussions and onboarding of appropriate data partners/vendors.
- Understand and implement principles of the medallion architecture in data processing and storage.
- Provide inputs to the BI and Data Science team while developing new products and reports.

**Qualifications, Skills & Experience**
- Master's or bachelor's degree in Computer Science, Software Engineering, AI or equivalent disciplines.
- Strong foundation in solid software engineering principles.
- An appreciation of test-driven development methodology.
- Acquainted with a CI/CD container/release platform such as Azure Devops.
- Proficiency in Python, SQL, and Spark (PySpark).
- Advanced skills in Microsoft SQL Server, including CDC and system versioned tables.
- Familiarity with the Lakehouse model as a modern alternative to the classic EDW and data lake.
- A conceptual understanding of the Parquet columnal file format and the Delta protocol.
- Proven experience as a Data Engineer for 3+ years.
- A commitment towards enterprise data governance and familiarity with a computational platform for governance, security and data sharing such as Unity Catalog.
- Experience in dimensional modelling, star schemas and classic data warehousing practices.
- Comfortable working with batch and streaming workloads, preferably using Spark Structured Steaming.
- Knowledge of Delta Live Tables ETL framework and its role in building robust, high-quality pipelines to implement medallion architectures.
- Proven experience working extensively with Spark in data processing env


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