Capgemini Vietnam

CentrePoint Building, 106 Nguyen Van Troi, TP Hồ Chí Minh

Quy mô công ty : 100-499

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Tóm lược

100-499

Outsourcing

Việt Nam

Data Engineer

Capgemini Vietnam

Phú Nhuận, TP Hồ Chí Minh

  • English
  • Có kinh nghiêm (Nhân viên)
  • Toàn thời gian
  • Thỏa Thuận
  • Ngày Đăng:13/04/2023
  • 1

Mô tả công việc

Tóm tắt công việc

The Data engineer will be responsible for:
• Develop and maintain data pipelines using ETL processes.
• Work closely with data science team to implement data analytics pipelines.
• Maintain security and data privacy, working closely with data protection officer.
• Implement scalable architectural models for data processing and storage.
• Build functionality for data ingestion from multiple heterogeneous sources in batch & real-time mode.
• Help in scoping, estimation, and planning for various projects in the enterprise.
• Provide technical support to project teams as needed.

Yêu cầu công việc

***Must have Technical Requirements / Qualifications:
• B.S. in Computer Science, related fields or commensurate work experience.
• 5+ years of experience in software development with 3+ years of experience of relevant data engineering like Spark, PySpark, Hive, HDFS, Pig… and ETL with large amounts of data.
• Solid knowledge and experience of data processing languages, such as SQL, Python, and/or Scala.
• Hand on experience with real-time data stream platforms such as Kafka and Spark Streaming.
• Knowledge and experience on both relational databases (Oracle), NoSQL databases (e.g. MongoDB) and strong SQL querying skills, Performance Tuning are required.
• Experience on complex regulatory data integration projects.
• Agile based delivery knowledge
• Excellent English communication – verbal, written, and presentation skills.
• Strong teambuilding skills and teamwork orientation.
• Strong creative problem-solving skills.

***Nice to have Technical Requirements / Qualifications:
• DP-203 – Data Engineering on Microsoft Azure certificate.
• Knowledge of at least one cloud environment (Azure, GCP, AWS, IBM)
• Experience on Data Warehouse such as Teradata SQL, Informatica, Unix and Control-M.
• Experience of data visualisation tools (e.g Tableau, Quantexa and SAS).
• Experience on creating Slowly Changing Dimension type data tables in Hive using Spark framework.

***Benefit:
• Competitive salary, health insurance covered for employee and dependents
• Working on international projects. Professional and dynamic working environment
• Achieving valuable experience with variety projects, new technologies and hundreds of talents
• Receiving training opportunities including many technical seminars and soft skill training courses
• Good opportunity for promotion through regular performance review system
• Hybrid work

Ngôn ngữ

  • English

    Nói: Intermediate - Đọc: Intermediate - Viết: Intermediate

Yêu cầu kỹ thuật

  • Python
  • MS SQL
  • Hadoop
  • Oracle
  • Unix
  • MongoDB
  • ETL
  • NoSQL
  • HDFS
  • Apache Spark
  • Apache Hive
  • Scala
  • MS Azure
  • SAS
  • Teradata
  • Apache Kafka
  • Tableau
  • AWS
  • Data Warehouse
  • IBM
  • GCP
  • PySpark
  • Performance tuning
  • Informatica

NĂNG LỰC

  • Agile
  • Communication Skills
  • Presentation Skills
  • Problem Solving Skills
  • Teamwork
  • Creative
  • Dynamic
  • Teambuilding

Thông tin doanh nghiệp

Capgemini Vietnam, one of the world leading company in IT services.

You enjoy a challenge? You have a thirst for knowledge and a desire to be one of the best? Then benefit from the Capgemini culture. At Capgemini, we draw on each other’s capacities and experiences, to inspire and motivate one another. We think that, YOU are the drive of your own development and career within the company!

At Capgemini Vietnam in addition to being a trusted provider of web-application services, we work for the biggest banks and insurance companies in the world. We maintain and develop their systems to handle huge volumes of transaction.

Our exceptional management team while leading our dynamic development, encourages us to continuously update our skills and improve together as a team.