Hcltech & Anz - Big Data Engineer (Hadoop)

2 weeks ago

Ho Chi Minh City, Vietnam HCL Vietnam Company Limited Full time

HCL Vietnam Company Limited

***
- Level 11, Five Star Tower, 28Bis Mac Dinh Chi Street, Da Kao Ward, District 1, Ho Chi Minh- Leadvisors Tower, Level 15, 643 Pham Van Dong Street, Co Nhue Ward, Bac Tu Liem, Ha Noi- Hybrid- Posted 11 hours ago- Skills:

- Database

Python

**Top 3 reasons to join us**:

- Attractive Salary and Performance Bonus
- Health Care for Employees & Family, 18 paid leaves
- Chance to travel onsite (in 53 countries)

**Job description**:
**INTRODUCTION**
- HCL Technologies, as the leader in Cloud & Digital Analytics services, are proud to be the key technology partner for our customer in this digital transformation journey. HCL is setting up large delivery centers for digital transformation projects in Vietnam and as part of that we are starting a delivery center in Ho Chi Minh City for Data transformation initiative of a major Global Bank. Work involves transforming legacy data into modern digital data technology and hosting it in Google Cloud Platform.
- This is an exciting project in which employees get the opportunity to experience the most modern data tool stack. Project is delivered in Agile ways of working, an excellent opportunity to work for a global leader. Joining us, you are the ones who create this innovative journey, you will have many chances to learn & work with the latest Cloud and Data Analytics technologies.

**DUTY & RESPONSIBILITIES**
- As a Hadoop Big Data Engineer, you will operate and monitor scalable and resilient data platform based on **Hadoop ecosystem, on production phase**

**Major Tasks (80%)**
- Responsible for production environment, build, deploy, monitor and bug fix on production environment.
- Provide high operational excellence guaranteeing high availability and platform stability.
- Technical analysis, trouble shooting and fixing the Production Incidents, Problem tickets and
Changes
- Work on small enhancements (Analysis, Build/test, Deployment/Release support)

**Other Tasks (20%)**
- Engineer reliable data pipelines for sourcing, processing, transforming, enriching and storing data in different ways, using data platform infrastructure effectively
- Ingest and transform data sets from a variety of data sources
- Focus on ingesting, storing, processing, and analyzing large datasets
- Create scalable, high-performance web services for tracking data

**Your skills and experience**:
**_ Must requirements:_**
- Must have 3+ years of experience at a similar role
- Having hands on experience in **Hadoop ecosystem (on-prem)** including Spark, HDFS, MapReduce, YARN, Hive, Kafka,
- Understanding of SLA and meeting Timelines for SRE activities
- Expertise in at least one commercial distribution of Hadoop
- Good experience in automating manual activities using python or unix scripts
- Strong Linux/Unix skills

**_
Good to Have:_**
- Experience with Data warehouse and Data management: Data Quality, Data integration
- Experience in ETL, SQL and NoSQL Database
- Good in programming language Python, Java, etc
- Exposure to any CI/CD tools such as Jenkins, Bamboo or Github actions
- Experience in Data API

**Why you'll love working here**:

- 18 paid leaves/year (12 annual leaves and 6 personal leaves)
- Insurance plan based on full salary + 13th month salary + Performance bonus
- Meal allowance of 730,000 VND/month
- 100% full salary and benefits as an official employee from the 1st day of working
- Medical benefit for employee and family
- Working in a fast-paced, flexible, and multinational working environment. Chance to travel onsite (in 53 countries)
- Free snacks, refreshment, and parking
- Internal training (Technical & Functional & English)
- Working time: 8:30 AM - 6:00 PM from Mondays to Fridays

**HCL Vietnam Company Limited**:
We bring together the best of technology and our people to supercharge progress.
- Company type
- IT Outsourcing
- Company size
- 501-1000 employees
- Country
- India- Working days
- Monday - Friday
- Overtime policy
- No OT

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