# Senior Data Engineer

**Company**: Prudential
**Location**: Thành phố Hồ Chí Minh
**Experience**: senior
**Job type**: full-time
**Category**: IT
**Industry**: Finance

**Apply**: https://prudential.wd3.myworkdayjobs.com/en-US/prudential/job/Thnh-ph-H-Ch-Minh/Senior-Data-Engineer--K-s-D-liu-Cp-cao-_26030503?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_0c9961cb-26b

## Description

We are seeking a Senior Data Engineer to join our team. As a Senior Data Engineer, you will be responsible for designing and implementing data integration solutions to ingest, transform, and integrate structured and unstructured data from various sources into a scalable data architecture platform.

**Job Responsibilities:**

- Design and implement data integration solutions to ingest, transform, and integrate structured and unstructured data from various sources into a scalable data architecture platform

- Develop, construct, and maintain large-scale data processing systems that collect data from variety of structured and unstructured data sources

- Store data in a scale-out data lake and prepare the data techniques in preparation for the data science data exploration and analytic modeling

- Ingest, transform, and blend/integrate structured and unstructured data and deliver the data to a MDM, data warehouse, and/or data lake

- Include both technical processes and business logic to transform data from disparate sources into cohesive meaningful data with quality, governance, and compliance considerations

- Use technical and business processes to combine data from disparate sources into meaningful and valuable information

- Design, build, and manage the information and big data infrastructure that helps analyze and process data that the organization requires and optimize systems to perform smoothly

- Prepare the data for the data scientist's exploration and discovery process

- Evaluate, compare, and improve the different approaches including design patterns innovation, data lifecycle design, data ontology alignment, annotated datasets, and elastic search approach

**Job Requirements:**

- University degree in Computer Science, Engineering, and/or a technically oriented field

- Over 5 years of experience with Flink/Spark, Databricks

- Over 5 years of experience with Azure (DP200 and/or DP201, DP203 certification acts as a plus)

- 3+ years' experience mining data as a data analyst

- 3+ years' using programming languages such as Java, DAX, MDX, SQL, Python

- 3+ years of experience with PowerBI, Tableau, or Qlik

- 3+ years' experience in the life insurance domain is required

- Passionate about analytics, machine learning technology, and applications, and eager to learn

- English communication

**Knowledge and Skill:**

- Good knowledge of Big Data technologies, such as Spark, Hadoop/MapReduce

- Good knowledge of Azure services like Storage Account, Azure DataBricks, etc.

- Good knowledge of SQL and excellent coding skills

- Strong knowledge of data modeling and data mining

- Self-Development, communication, problem-Solving Skills

- Open-minded, multi-tasking, teamwork, flexible, and interest to learn new things

## Skills

### Required
- Big Data
- Spark
- Hadoop/MapReduce
- Azure
- Databricks
- Flink
- Java
- Python
- SQL
- PowerBI
- Tableau
- Qlik

### Nice to have
- Machine Learning
- Analytics

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Source: [Apply at prudential.wd3.myworkdayjobs.com](https://prudential.wd3.myworkdayjobs.com/en-US/prudential/job/Thnh-ph-H-Ch-Minh/Senior-Data-Engineer--K-s-D-liu-Cp-cao-_26030503?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)