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Capgemini Vietnam

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

Company Size : 100-499

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Job Summary

  • 100-499
  • Outsourcing
  • Việt Nam

Senior Data Engineer

Capgemini Vietnam

  • Phú Nhuận, TP Hồ Chí Minh
  • Negotiable
  •  Full Time
  •  English
  •  Experienced (Non-Manager)
1
1

  •  Posted:22/04/2023

  • Expired
Senior Data Engineer
Expired
Technical Skill: Python , MS SQL , Hadoop , Oracle , Unix , MongoDB , ETL , NoSQL , SOLID , HDFS , Apache Spark , Apache Hive , Scala , MS Azure , SAS , Teradata , Apache Kafka , Tableau , AWS , Data Warehouse , IBM , GCP , Performance tuning , Azure Data Factory , Informatica , Delta Lake , Databricks , Azure Data Lake , Azure Databricks

Job description

Overview of job

The ideal candidate is an experienced data pipeline builder and data wrangler, will act as technical data engineering expert in international team (multilocation). He/she will actively participate in optimizing data systems or building them from the ground up for our oversee customers.

Responsibilities:

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 to for various projects in the enterprise.
  • Provide technical support to project teams as needed.
  • 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

Job Requirement

Must have Technical Requirements / Qualifications

  • B.S. in Computer Science, related fields or commensurate work experience.
  • 5+ years of relevant data engineering experience like Hadoop, Spark, Hive, HDFS, Pig… and ETL with large amounts of data.
  • Experience on complex regulatory data integration projects.
  • 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.
  • Experience on creating Slowly Changing Dimension type data tables in Hive using Spark framework.
  • Knowledge and experience on both relational databases (Oracle), NoSQL databases (e.g. MongoDB) and strong SQL querying skills, Performance Tuning are required.
  • Experience on Data Warehouse such as Teradata SQL, Informatica, Unix and Control-M.
  • Experience of data visualisation tools (e.g Tableau, Quantexa and SAS).
  • Knowledge of at least one cloud environment (Azure, GCP, AWS, IBM)
  • Agile based delivery knowledge
  • Excellent English communication – verbal, written, and presentation skills; adept at communicating and managing stakeholders at all levels.
  • Strong teambuilding skills and teamwork orientation.
  • Strong creative problem-solving skills.

Nice to have Technical Requirements / Qualifications

  • Knowledge or experience on Azure Modern Data Warehouse platform (e.g., Azure Data Lake, Synapse Analytics, Azure Data Factory, Azure Databricks, Databricks Delta Lake, etc).
  • AZ-900: Microsoft Azure Fundamentals.
  • Azure Data Engineer – Associate.

Languages

    • English

    • Speaking: Intermediate - Reading: Intermediate - Writing: Intermediate

Technical Skill

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

COMPETENCES

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

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BUSINESS PROFILE

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.

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